An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
Article
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2020. "An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions." IEEE Transactions on Intelligent Transportation Systems. 21 (2), pp. 553-564. https://doi.org/10.1109/TITS.2019.2897990
| Article Title | An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions |
|---|---|
| ERA Journal ID | 3746 |
| Article Category | Article |
| Authors | Al-Shemarry, Meeras Salman (Author), Li, Yan (Author) and Abdulla, Shahab (Author) |
| Journal Title | IEEE Transactions on Intelligent Transportation Systems |
| Journal Citation | 21 (2), pp. 553-564 |
| Number of Pages | 12 |
| Year | Feb 2020 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | United States |
| ISSN | 1524-9050 |
| 1558-0016 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/TITS.2019.2897990 |
| Web Address (URL) | https://ieeexplore.ieee.org/document/8649810 |
| Abstract | This paper aims to identify the license plates under difficult image conditions, such as low/high contrast, foggy, distorted, and dusty conditions. This paper proposes an efficient descriptor, multi-level extended local binary pattern, for the license plates (LPs) detection system. A pre-processing Gaussian filter with contrast-limited adaptive histogram equalization enhancement method is applied with the proposed descriptor to capture all the representative features. The corresponding bins histogram features for a license plate image at each different level are calculated. The extracted features are used as the input to an extreme learning machine classifier for multiclass vehicle LPs identification. The dataset with English cars LPs is extended using an online photo editor to make changes on the original dataset to improve the accuracy of the LPs detection system. The experimental results show that the proposed method has a high detection accuracy with an extremely high computational efficiency in both training and detection processes compared to the most popular detection methods. The detection rate is 99.10% with a false positive rate of 5% under difficult images. The average training and detection time per vehicle image is 4.25 and 0.735 s, respectively. |
| Keywords | Feature extraction; Training; Licenses; Image color analysis; Lighting; Histograms; Robustness; Extreme learning machine; local binary pattern; extended local binary pattern; license plate detection |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 460306. Image processing |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
| Open Access College | |
| Institution of Origin | University of Southern Queensland |
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Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus." Ultrasonics. 124, pp. 1-11. https://doi.org/10.1016/j.ultras.2022.106724A hybrid architecture for resolving cryptographic issues in Internet of Things (IoT), employing quantum computing supremacy
Shamshad, Shuhab, Riaz, Farina, Riaz, Rabia, Rizvi, Sanam Shahla and Abdulla, Shahab. 2021. "A hybrid architecture for resolving cryptographic issues in Internet of Things (IoT), employing quantum computing supremacy." 12th International Conference on Information and Communication Technology Convergence (ICTC 2021). Jeju Island, Korea, Republic of Korea 20 - 22 Oct 2021 Jeju Island, Korea, Republic of Korea. https://doi.org/10.1109/ICTC52510.2021.9621208A social contract for cyberspace
Sheniar, Dawood, Northway, James, Talbot, James, Millsom, David, Li, Yan and Addie, Ron. 2021. "A social contract for cyberspace." 31st International Telecommunication Networks and Application Conference (ITNAC). Sydney, Australia 24 - 26 Nov 2021 Sydney. https://doi.org/10.1109/ITNAC53136.2021.9652166An automatic scheme with diagnostic index for identification of normal and depression EEG signals
Akari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2021. "An automatic scheme with diagnostic index for identification of normal and depression EEG signals." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_6A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model
Diykh, Mohammed, Abdulla, Shahab, Oudah, Atheer Y., Marhoon, Haydar Abdulameer and Siuly, Siuly. 2021. "A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Cham, Switzerland. https://doi.org/10.1007/978-3-030-90885-0_8Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed and Green, Jonathan H.. 2021. "Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection." Diagnostics. 12 (1), pp. 1-18. https://doi.org/10.3390/diagnostics12010074ADHD Children Identification Based on EEG Using Effective Connectivity Techniques
Shen, M., Wen, Peng, Song, Bo and Li, Yan. 2021. "ADHD Children Identification Based on EEG Using Effective Connectivity Techniques ." Siuly, Siuly, Wang, Hua, Chen, Lu, Guo, Yanhui and Xing, Chunxiao (ed.) 10th International Conference on Health Information Science (HIS 2021). Melbourne, Australia 25 - 28 Oct 2021 Switzerland. https://doi.org/10.1007/978-3-030-90885-0_7A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction
Ra, Jee Sook, Li, Tianning, Li, Yan, Ra, Jee S., Li, Tianning and Li, Yan. 2021. "A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction." Sensors. 21 (23). https://doi.org/10.3390/s21237972Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley. 2022. "Educational Decision Support System Adopting Sentiment Analysis on Student Feedback." 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Niagara Falls, Canada 17 - 20 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT55865.2022.00062OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining
Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm
Al-Salman, Wessam, Li, Yan, Wen, Peng, Miften, Firas Sabar, Oudah, Atheer Y. and Ghayab, Hadi Ratham Al. 2022. "Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm." Brain Research. 1779. https://doi.org/10.1016/j.brainres.2022.147777Large-scale brain network model and multi-band electroencephalogram rhythm simulations
Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App
Song Bo, Ahad, Md Taimur, Li, Yan and Rahman, F.M. Nafis. 2022. "Aiming Sustainable Transportation Utilizing Social Capital: A Perspective of Mobile Car Park App ." Mobile Information Systems. 2022. https://doi.org/10.1155/2022/5606833Experiments and proofs in web-service security
Sheniar, Dawood, Hadaad, Nabeel, Martin, David, Addie, Ron and Abdulla, Shahab. 2018. "Experiments and proofs in web-service security." Harris, Richard, Gregory, Mark, Tran-Gia, Phuoc and Pawlikowski, Krys (ed.) 28th International Telecommunication Networks and Application Conference: Experiments and Proofs in Web-service Security (ITNAC 2018). Sydney, Australia 21 - 23 Nov 2018 New York, United States. https://doi.org/10.1109/ATNAC.2018.8615367A Review of the State of the Art in Privacy and Security in the eHealth Cloud
Sahi, Aqeel, Lai, David and Li, Yan. 2021. "A Review of the State of the Art in Privacy and Security in the eHealth Cloud." IEEE Access. 9, pp. 104127-104141. https://doi.org/10.1109/ACCESS.2021.3098708A novel spectral entropy-based index for assessing the depth of anaesthesia
Ra, Jee Sook, Li, Tianning and Li, Yan. 2021. "A novel spectral entropy-based index for assessing the depth of anaesthesia." Brain Informatics. 8 (1). https://doi.org/10.1186/s40708-021-00130-8Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2021. "Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier." Neuroscience Research. 172, pp. 26-40. https://doi.org/10.1016/j.neures.2021.03.012An efficient hash based parallel block cipher mode of operation
Sahi, Aqeel, Lai, David and Li, Yan. 2018. "An efficient hash based parallel block cipher mode of operation." 3rd IEEE International Conference on Computer and Communication Systems (ICCCS 2018). Nagoya, Japan 27 - 30 Apr 2018 New York, United States.Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193A preliminary study of the impact of lateral head orientations on the current distributions during tDCS
Song, Bo, Menezes de Oliveira, Marilia, Wang, Shuaifang, Li, Yan, Wen, Peng and Ahfock, Tony. 2019. "A preliminary study of the impact of lateral head orientations on the current distributions during tDCS." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. https://doi.org/10.1007/978-3-030-37078-7_25An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems
Yin, Xinwei, Feng, Qi, Li, Yan, Deo, Ravinesh C., Liu, Wei, Zhu, Meng, Zheng, Xinjun and Liu, Ran. 2022. "An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems." Science of the Total Environment. 806 (2), pp. 1-20. https://doi.org/10.1016/j.scitotenv.2021.150599Three-party password-based authenticated key exchange protocol based on the computational Diffie-Hellman assumption
Sahi, Aqeel, Lai, David and Li, Yan. 2018. "Three-party password-based authenticated key exchange protocol based on the computational Diffie-Hellman assumption." International Journal of Communication Networks and Distributed Systems. 21 (4), pp. 560-581. https://doi.org/10.1504/IJCNDS.2018.095373A new framework for classification of multi-category hand grasps using EMG signals
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. "Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images." IEEE Intelligent Informatics Bulletin. 20 (1), pp. 42-44.An improved non-local means filter for color image denoising
Wang, Gaihua, Liu, Yang, Xiong, Wei and Li, Yan. 2018. "An improved non-local means filter for color image denoising." Optik. 173, pp. 157-173. https://doi.org/10.1016/j.ijleo.2018.08.013Multiscale entropy algorithms and their applications in cardiac disease discrimination
Wan, Xiangkui, Zhu, Binru, Jin, Zhiyao, Zhang, Mingru and Li, Yan. 2020. "Multiscale entropy algorithms and their applications in cardiac disease discrimination." Journal of Mechanics in Medicine and Biology. 20 (8), pp. 1-13. https://doi.org/10.1142/S0219519420500529Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates
Al-Shemarry, Meeras Salman and Li, Yan. 2020. "Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates." IEEE Access. 8, pp. 170951-170966. https://doi.org/10.1109/ACCESS.2020.3024625Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images
Al-Shemarry, Meeras Salman Juwad. 2020. Developing new techniques to improve licence plate detection systems for complicated and low quality vehicle images. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/cbeg-yw22Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab and Green, Jonathan H.. 2020. "Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques." Rahman, Atta-ur- and Amtul, Zareen (ed.) Frontiers in Clinical Drug Research: CNS and Neurological Disorders. Sharjah, United Arab Emirates. Bentham Science Publishers. pp. 23-39Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676Student perceptions of mathematics readiness from a university preparatory program to undergraduate studies
Robinson, Clare, Galligan, Linda, Hussain, Zanubia, Abdulla, Shahab, Frederiks, Anita and Wandel, Andrew. 2019. "Student perceptions of mathematics readiness from a university preparatory program to undergraduate studies." Adults Learning Mathematics: An International Journal. 14 (2), pp. 6-22.A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384Spectral density constraints on wireless communication
Alhasnawi, Mohammad Kaisb Layous, Abdulla, Shahab, Fatseas, David and Addie, Ronald G.. 2020. "Spectral density constraints on wireless communication." Heliyon. 6 (5), pp. 1-7. https://doi.org/10.1016/j.heliyon.2020.e03979Robust approach for depth of anaesthesia assessment based on hybrid transform and statistical features
Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Saleh, Khalid and Green, Jonathan H.. 2020. "Robust approach for depth of anaesthesia assessment based on hybrid transform and statistical features." IET Science, Measurement and Technology. 14 (1), pp. 128-136. https://doi.org/10.1049/iet-smt.2018.5393Complex networks approach for depth of anesthesia assessment
Diykh, Mohammed, Li, Yan, Wen, Peng and Li, Tianning. 2018. "Complex networks approach for depth of anesthesia assessment." Measurement. 119, pp. 178-189. https://doi.org/10.1016/j.measurement.2018.01.024Simulation α of EEG using brain network model
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2017. "Simulation α of EEG using brain network model." Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed (ed.) First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.Assessment of grain quality in terms of functional group response to elevated [CO2], water, and nitrogen using a meta‐analysis: grain protein, zinc, and iron under future climate
Al‐Hadeethi, Ikhlas, Li, Yan, Odhafa, Abdul Kareem H., Seneweera, Saman and Lam, Shu K.. 2019. "Assessment of grain quality in terms of functional group response to elevated [CO2], water, and nitrogen using a meta‐analysis: grain protein, zinc, and iron under future climate." Ecology and Evolution. 9 (13), pp. 7425-7437. https://doi.org/10.1002/ece3.5210K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034EEG sleep stages identification based on weighted undirected complex networks
Diykh, Mohammed, Li, Yan and Abdulla, Shahab. 2020. "EEG sleep stages identification based on weighted undirected complex networks." Computer Methods and Programs in Biomedicine. 184, pp. 1-14. https://doi.org/10.1016/j.cmpb.2019.105116Electrocardiogram Baseline Wander Suppression Based on the Combination of Morphological and Wavelet Transformation Based Filtering
Wan, Xiang-kui, Wu, Haibo, Qiao, Fei, Li, Feng-cong, Li, Yan, Yan, Yue-wen and Wei, Jia-xin. 2019. "Electrocardiogram Baseline Wander Suppression Based on the Combination of Morphological and Wavelet Transformation Based Filtering." Computational and Mathematical Methods in Medicine. 2019, pp. 1-7. https://doi.org/10.1155/2019/7196156Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals
Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293Modelling and simulating different bands of EEG signals with the virtual brain
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2019. "Modelling and simulating different bands of EEG signals with the virtual brain." International Journal of Electrical, Electronics and Data Communication. 7 (5), pp. 66-70.Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045An auto TCD probe design and visualization
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2018. "An auto TCD probe design and visualization." Wang, Shouyi, Yamamoto, Vicky, Su, Jianzhong, Yang, Yang, Jones, Erick, Iasemidis, Leon and Mitchell, Tom (ed.) 11th International Conference on Brain Informatics (BI 2018). Arlington, United States 07 - 09 Dec 2018 Sham, Switzerland. https://doi.org/10.1007/978-3-030-05587-5_46Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, S. and Abdulla, Shahab. 2019. "A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification." Journal of Neuroscience Methods. 312, pp. 43-52. https://doi.org/10.1016/j.jneumeth.2018.11.014A new approach to spread-spectrum OFDM
Alhasnawi, Mohammad Kaisb Layous, Addie, Ronald G. and Abdulla, Shahab. 2018. "A new approach to spread-spectrum OFDM." 15th International Joint Conference on e-Business and Telecommunications (ICETE 2018) - Volume 1: DCNET, ICE-B, OPTICS, SIGMAP and WINSYS. Porto, Portugal 26 - 28 Jul 2018 https://doi.org/10.5220/0006828602810288An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image
Al-Salman, Wessam, Li, Yan, Wen, Peng and Diykh, Mohammed. 2018. "An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image." Biomedical Signal Processing and Control. 41, pp. 210-221. https://doi.org/10.1016/j.bspc.2017.11.019Epileptic seizures detection in EEGs blending frequency domain with information gain technique
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2019. "Epileptic seizures detection in EEGs blending frequency domain with information gain technique." Soft Computing. 23 (1), pp. 227-239. https://doi.org/10.1007/s00500-018-3487-0Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models
McCarthy, Elizabeth, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 446-464Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis
Al-Hadeethi, Ikhlas, Li, Yan, Seneweera, Saman and Al-Hadeethi, Hanan. 2017. "Estimating the effects of carbon dioxide, temperature and nitrogen on grain protein and grain yield using meta-analysis." Frangos, Christos C. (ed.) 1st International Conference on Quantitative, Social, Biomedical and Economic Issues 2017 (ICQSBEI2017). Athens, Greece 29 - 30 Jun 2017 Athens, Greece.Epileptic EEG signal classification using optimum allocation based power spectral density estimation
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly and Abdulla, Shahab. 2018. "Epileptic EEG signal classification using optimum allocation based power spectral density estimation." IET Signal Processing. 12 (6), pp. 738-747. https://doi.org/10.1049/iet-spr.2017.0140The perceived public value of social media in Queensland local Councils
Attiya, Ahmed Muyed, Cater-Steel, Aileen, Soar, Jeffrey and Abdulla, Shahab. 2017. "The perceived public value of social media in Queensland local Councils." Riemer, Kai, Indulska, Marta and Tuunainen, Virpi Kristiina (ed.) 28th Australasian Conference on Information Systems (ACIS 2017). Hobart, Australia 04 - 06 Dec 2017 Hobart, Australia.Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthyDeveloping a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction
Al Ghayab, Hadi Ratham, Li, Yan, Siuly, Siuly, Abdulla, Shahab and Wen, Paul. 2017. "Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction." Siuly, Siuly, Huang, Zhisheng, Aickelin, Uwe, Zhou, Rui, Wang, Hua, Zhang, Yanchun and Klimenko, Stanislav (ed.) 6th International Conference on Health Information Science (HIS 2017). Moscow, Russian Federation 07 - 09 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-69182-4_6A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Abbas, Wessam, Luo, Yonglong, Chen, Fulong and Tseng, Vincent S.. 2017. "A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset." Kim, Jinho, Shim, Kyuseok, Cao, Longbing, Lee, Jae-Gil, Lin, Xuemin and Moon, Yang-Sae (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Switzerland. Springer. https://doi.org/10.1007/978-3-319-57454-7_51Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan and Adamowski, Jan F.. 2018. "Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting." Applied Energy. 217, pp. 422-439. https://doi.org/10.1016/j.apenergy.2018.02.140Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2018. "Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 35 (C), pp. 1-16. https://doi.org/10.1016/j.aei.2017.11.002Nursing students’ readiness for the numeracy needs of their program: students’ perspective
Galligan, Linda, Frederiks, Anita, Wandel, Andrew P., Robinson, Clare, Abdulla, Shahab and Hussain, Zanubia. 2017. "Nursing students’ readiness for the numeracy needs of their program: students’ perspective." Adults Learning Mathematics: An International Journal. 12 (1), pp. 27-38.Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study
Wang, Xin, Li, Yan, Chen, Tongjun, Yan, Qiuyan and Ma, Li. 2017. "Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study." Computers and Geosciences. 101, pp. 38-47. https://doi.org/10.1016/j.cageo.2017.02.001Classify epileptic EEG signals using weighted complex networks based community structure detection
Diykh, Mohammed, Li, Yan and Wen, Peng. 2017. "Classify epileptic EEG signals using weighted complex networks based community structure detection." Expert Systems with Applications. 90, pp. 87-100. https://doi.org/10.1016/j.eswa.2017.08.012An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment
Sahi, Aqeel, Lai, David, Li, Yan and Diykh, Mohammed. 2017. "An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment ." IEEE Access. 5, pp. 6036-6048. https://doi.org/10.1109/ACCESS.2017.2688460Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features." Biomedical Signal Processing and Control. 48, pp. 80-92. https://doi.org/10.1016/j.bspc.2018.10.004An energy efficient TCP DoS attacks mitigation method in cloud computing
Sahi, Aqeel, Lai, David and Li, Yan. 2017. "An energy efficient TCP DoS attacks mitigation method in cloud computing." Al-Jumaily, Adel Ali, Barifcani, Ahmed and Al-Jumaily, Ahmed (ed.) 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt
Majeed, Ammar, Chong, Albert K. and Abdulla, Shahab. 2017. "Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt." Al-Jumaily, Adel Ali, Barifcani, Ahmed and Al-Jumaily, Ahmed (ed.) 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2018. "Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images." Expert Systems with Applications. 92, pp. 216-235. https://doi.org/10.1016/j.eswa.2017.09.036Complex networks approach for EEG signal sleep stages classification
Diykh, Mohammed and Li, Yan. 2016. "Complex networks approach for EEG signal sleep stages classification." Expert Systems with Applications. 63, pp. 241-248. https://doi.org/10.1016/j.eswa.2016.07.004Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios
Xiong, Wei, Jingjing, Xu, Li, Yan, Wan, Xiangkui and Jin, Liang. 2016. "Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios." Eurasip Journal on Wireless Communications and Networking. 32, pp. 1-10. https://doi.org/10.1186/s13638-016-0529-0A T-wave alternans assessment method based on least squares curve fitting technique
Wan, Xiangkui, Li, Yan, Xia, Chong, Wu, Minghu, Liang, Jin and Wang, Na. 2016. "A T-wave alternans assessment method based on least squares curve fitting technique." Measurement. 86, pp. 93-100. https://doi.org/10.1016/j.measurement.2016.01.046Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan
Sahi, Aqeel, Lai, David and Li, Yan. 2016. "Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan." Computers in Biology and Medicine. 78, pp. 1-8. https://doi.org/10.1016/j.compbiomed.2016.09.003Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation
Song, Bo, Wen, Peng, Ahfock, Tony and Li, Yan. 2016. "Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation." IEEE Transactions on Biomedical Engineering. 63 (1), pp. 176-187. https://doi.org/10.1109/TBME.2015.2468672Data selection in EEG signals classification
Wang, Shuaifang, Li, Yan, Wen, Peng and Lai, David. 2016. "Data selection in EEG signals classification." Physical and Engineering Sciences in Medicine. 39 (1), pp. 157-165. https://doi.org/10.1007/s13246-015-0414-xAnalysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal." IEEE Journal of Biomedical and Health Informatics. 18 (6), pp. 1813-1821. https://doi.org/10.1109/JBHI.2014.2303991Depth of anaesthesia monitors and the latest algorithms
Li, Tianning and Li, Yan. 2014. "Depth of anaesthesia monitors and the latest algorithms." Asian Pacific Journal of Tropical Medicine. 7 (6), pp. 429-437. https://doi.org/10.1016/S1995-7645(14)60070-5EEG sleep stages classification based on time domain features and structural graph similarity
Diykh, Mohammed, Li, Yan and Wen, Peng. 2016. "EEG sleep stages classification based on time domain features and structural graph similarity." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24 (11), pp. 1159-1168. https://doi.org/10.1109/TNSRE.2016.2552539Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means
Zhu, Guohun, Li, Yan, Wen, Peng (Paul) and Wang, Shuaifang. 2015. "Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) Signal and image analysis for biomedical and life sciences. United States. Springer. pp. 143-157EEG signal analysis and classification: techniques and applications
Siuly, Siuly, Li, Yan and Zhang, Yanchun. 2017. EEG signal analysis and classification: techniques and applications. Switzerland. Springer.Depth of anaesthesia patient models and control
Abdulla, Shahab and Wen, Peng. 2011. "Depth of anaesthesia patient models and control." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876701IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2016. "IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_58Fuzzy and non-fuzzy approaches for digital image classification
Diykh, Mohammed and Li, Yan. 2016. "Fuzzy and non-fuzzy approaches for digital image classification." Journal of Theoretical and Applied Information Technology. 95 (4), pp. 858-870.Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach
Siuly, Siuly and Li, Yan. 2015. "Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach." Neural Computing and Applications. 26 (4), pp. 799-811. https://doi.org/10.1007/s00521-014-1753-3Parallel encryption mode for probabilistic scheme to secure data in the cloud
Sahi, Aqeel, Lai, David and Li, Yan. 2015. "Parallel encryption mode for probabilistic scheme to secure data in the cloud." 10th International Conference on Information Technology and Applications (ICITA 2015). Sydney, Australia 01 - 04 Jul 2015 Australia.Analysis of alcoholic EEG signals based on horizontal visibility graph entropy
Zhu, Guohun, Li, Yan, Wen, Peng and Wang, Shuaifang. 2014. "Analysis of alcoholic EEG signals based on horizontal visibility graph entropy." Brain Informatics. 1, pp. 19-25. https://doi.org/10.1007/s40708-014-0003-xAn intelligent recommender system based on predictive analysis in telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Tseng, Vincent S., Luo, Yonglong and Chen, Fulong. 2016. "An intelligent recommender system based on predictive analysis in telehealthcare environment." Web Intelligence. 14 (4), pp. 325-336. https://doi.org/10.3233/WEB-160348Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
Al Ghayab, Hadi, Li, Yan, Abdulla, Shahab, Diykh, Mohammed and Wan, Xiangkui. 2016. "Classification of epileptic EEG signals based on simple random sampling and sequential feature selection." Brain Informatics. 3 (2), pp. 85-91. https://doi.org/10.1007/s40708-016-0039-1An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2015. "An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients." 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015. Singapore 06 - 09 Dec 2015 Singapore. https://doi.org/10.1109/WI-IAT.2015.47Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia
Abdulla, Shahab. Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia. Toowoomba.Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
Siuly, Siuly and Li, Yan. 2015. "Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification." Computer Methods and Programs in Biomedicine. 119 (1), pp. 29-42. https://doi.org/10.1016/j.cmpb.2015.01.002Autism Spectrum Disorder: Brain Images and Registration
Visutsak, Porawat and Li, Yan. 2016. "Autism Spectrum Disorder: Brain Images and Registration ." 5th International Conference on Health Information Science (HIS 2016). Shanghai, China 05 - 07 Nov 2016 Switzerland . Springer. https://doi.org/10.1007/978-3-319-48335-1_15Flame-retardant coating by alternate assembly of poly(vinylphosphonic acid) and polyethylenimine for ramie fabrics
Wang, Li-li, Zhang, Tao, Yan, Hong-quiang, Peng, Mao, Fang, Zheng-ping, Li, Yan and Wang, Hao. 2014. "Flame-retardant coating by alternate assembly of poly(vinylphosphonic acid) and polyethylenimine for ramie fabrics." Chinese Journal of Polymer Science. 32 (3), pp. 305-314. https://doi.org/10.1007/s10118-014-1408-yStudy on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia
Li, Ying, Li, Yan and Wang, Xiaofen. 2014. "Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia." Wang, Xizhao, Pedrycz, Witold, Chan, Patrick and He, Qiang (ed.) 13th International Conference on Machine Learning and Cybernetics. Langzhou, China Berlin, Germany. https://doi.org/10.1007/978-3-662-45652-1_43Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2014. "Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm." Computer Methods and Programs in Biomedicine. 115 (2), pp. 64-75. https://doi.org/10.1016/j.cmpb.2014.04.001Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods
Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2014. "Monitoring the depth of anaesthesia using Hurst exponent and Bayesian methods." IET Signal Processing. 8 (9), pp. 907-917. https://doi.org/10.1049/iet-spr.2013.0113Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface
Siuly, Siuly, Li, Yan and Wen, Peng (Paul). 2014. "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface ." Computer Methods and Programs in Biomedicine. 113 (3), pp. 767-780. https://doi.org/10.1016/j.cmpb.2013.12.020A novel statistical algorithm for multiclass EEG signal classification
Siuly and Li, Yan. 2014. "A novel statistical algorithm for multiclass EEG signal classification." Engineering Applications of Artificial Intelligence. 34, pp. 154-167. https://doi.org/10.1016/j.engappai.2014.05.011Real-time depth of anaesthesia assessment using strong analytical signal transform technique
Palendeng, Mario Elvis, Wen, Peng and Li, Yan. 2014. "Real-time depth of anaesthesia assessment using strong analytical signal transform technique." Physical and Engineering Sciences in Medicine. 37 (4), pp. 723-730. https://doi.org/10.1007/s13246-014-0309-2Students' mathematical preparation: differences in staff and student perceptions
Wandel, Andrew P., Robinson, Clare, Abdulla, Shahab, Dalby, Tim, Frederiks, Anita and Galligan, Linda. 2015. "Students' mathematical preparation: differences in staff and student perceptions." International Journal of Innovation in Science and Mathematics Education. 23 (1), pp. 82-93.Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree
Wang, Shuaifang, Li, Yan, Wen, Peng and Zhu, Guohun. 2014. "Analyzing EEG signals using graph entropy based principle component analysis and J48 decision tree." Zhang, Teresa (ed.) 6th International Conference on Signal Processing Systems (ICSPS 2014). Dubai, United Arab Emirates 08 - 10 Dec 2014 Rowland Heights, CA. United States. https://doi.org/10.12720/ijspsAnalysis of epileptic EEG signals with simple random sampling J48 algorithm
Wang, Shuaifang, Zhu, Guohun, Li, Yan, Wen, Peng and Song, Bo. 2014. "Analysis of epileptic EEG signals with simple random sampling J48 algorithm." International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB). 4 (2), pp. 78-81. https://doi.org/10.7763/IJBBB.2014.V4.314Orthogonal Basis Extreme Learning Algorithm and Function Approximation
Li, Ying, Li, Yan and Wan, Xiangkui. 2015. "Orthogonal Basis Extreme Learning Algorithm and Function Approximation ." 12th International Symposium of Neural Networks (ISNN 2015). Jeju, Korea 15 - 18 Oct 2015 Switzerland . Springer. https://doi.org/10.1007/978-3-319-25393-0_39An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer
Li, Yan, Rad, A. B. and Wen, Peng. 1999. "An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer." Neural Computing and Applications. 8, pp. 218-225.A cascading structure and training method for multilayer neural network
Li, Yan and Rad, A. B.. 1997. "A cascading structure and training method for multilayer neural network." International Journal of Neural Systems. 8 (5/6), pp. 509-515. https://doi.org/10.1142/S0129065797000495Epileptogenic focus detection in intracranial EEG based on delay permutation entropy
Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Xi, Min. 2013. "Epileptogenic focus detection in intracranial EEG based on delay permutation entropy." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) International Symposium on Computational Models for Life Sciences (CMLS 2013). Sydney, Australia 27 - 29 Nov 2013 United States. AIP Publishing. https://doi.org/10.1063/1.4824993An improved chaos method for monitoring the depth of anaesthesia
Nguyen-Ky, Tai, Wen, Peng and Li, Yan. 2013. "An improved chaos method for monitoring the depth of anaesthesia." Duc, Nguyen Minh and BenLetaief, Khaled (ed.) International Conference on Computing, Management and Telecommunications (ComManTel 2013). Ho Chi Minh City, Vietnam 21 - 24 Jan 2013 United States. https://doi.org/10.1109/ComManTel.2013.6482413Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm
Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Zhong, Ning. 2013. "Unsupervised classification of epileptic EEG signals with multi scale K-means algorithm." Imamura, Kazayuki, Usui, Shiro, Shirao, Tomoaki, Kasamatsu, Takuji, Schwabe, Lars and Zhong, Ning (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. Springer. https://doi.org/10.1007/978-3-319-02753-1_16Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals
Nguyen-Ky, Tai, Wen, Peng (Paul) and Li, Yan. 2013. "Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals." IEEE Transactions on Biomedical Engineering. 60 (6), pp. 1488-1498. https://doi.org/10.1109/TBME.2012.2236649Identification of motor imagery tasks through CC–LR algorithm in brain computer interface
Li, Yan and Wen, Peng. 2013. "Identification of motor imagery tasks through CC–LR algorithm in brain computer interface." International Journal of Bioinformatics Research and Applications. 9 (2), pp. 156-172. https://doi.org/10.1504/IJBRA.2013.052447Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
Li, Yan and Wen, Peng (Paul). 2014. "Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification." Biomedical Engineering: Applications, Basis and Communications. 26 (3), pp. 1-10. https://doi.org/10.4015/S1016237214500409Students' mathematical preparation Part A: lecturers' perceptions
Galligan, Linda, Wandel, Andrew, Pigozzo, Robyn, Frederiks, Anita, Robinson, Clare, Abdulla, Shahab and Dalby, Tim. 2013. "Students' mathematical preparation Part A: lecturers' perceptions." Deborah, King, Birgit, Loch and Leanne, Rylands (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.Students' mathematical preparation Part B: students' perceptions
Dalby, Tim, Robinson, Clare, Abdulla, Shahab, Galligan, Linda, Frederiks, Anita, Pigozzo, Robyn and Wandel, Andrew. 2013. "Students' mathematical preparation Part B: students' perceptions." King, Deborah, Loch, Birgit and Rylands, Leanne (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2013. "Chaos-modified detrended moving average methodology for monitoring the depth of anaesthesia." International Journal of Emerging Trends in Signal Processing. 1 (2), pp. 1-8.Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China
Qu, Jiansheng, Zeng, Jingjing, Li, Yan, Wang, Qin, Maraseni, Tek, Zhang, Lihua, Zhang, Zhiqiang and Clarke-Sather, Abigail. 2013. "Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China." Energy Policy. 57, pp. 133-140. https://doi.org/10.1016/j.enpol.2012.12.065Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment
Li, Mao, Li, Yan and Wen, Peng (Paul). 2014. "Simulation study of pO2 distribution in induced tumour masses and normal tissues within a microcirculation environment." Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. 17 (4), pp. 334-343. https://doi.org/10.1080/10255842.2012.683428An efficient visibility graph similarity algorithm and its application for sleep stages classification
Zhu, Guohun, Li, Yan and Wen, Peng Paul. 2012. "An efficient visibility graph similarity algorithm and its application for sleep stages classification." Zanzotto, Fabio Massimo, Tsumoto, Shusaku, Taatgen, Niels and Yao, Yiyu (ed.) 2012 International Conference on Brain Informatics (BI 2012). Macau, China 04 - 07 Dec 2012 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-35139-6_18Analysing epileptic EEGs with a visibility graph algorithm
Zhu, Guohun, Li, Yan and Wen, Peng (Paul). 2012. "Analysing epileptic EEGs with a visibility graph algorithm." Chen, Qianbin, Huan, Jun (Luke), Xu, Yong, Zhang, Tianqi and Wang, Lipo (ed.) 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012). Chongqing, China 16 - 18 Oct 2012 Piscataway, NJ. United States. https://doi.org/10.1109/BMEI.2012.6513212Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Malan, Mel. 2012. "Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques." Computers in Biology and Medicine. 42 (6), pp. 680-691. https://doi.org/10.1016/j.compbiomed.2012.03.004Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
Siuly, Siuly and Li, Yan. 2012. "Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20 (4), pp. 526-538. https://doi.org/10.1109/TNSRE.2012.2184838Model based predictive control of depth of anaesthesia
Abdulla, Shahab, Wen, Peng, Zude, Zhou and Quan, Liu. 2012. "Model based predictive control of depth of anaesthesia." Chih-Hsing, Chu, Smith, Shana and Hong, Hocheng (ed.) 2012 International Conference on Innovative Design and Manufacturing (ICIDM 2012). Taipei, Taiwan 12 - 14 Dec 2012 Taiwan.EEG data compression to monitor DoA in telemedicine
Palendeng, Mario E., Zhang, Qing, Pang, Chaoyi and Li, Yan. 2012. "EEG data compression to monitor DoA in telemedicine." Studies in Health Technology and Informatics. 178, pp. 163-8. https://doi.org/10.3233/978-1-61499-078-9-163Tumor-induced effects on PO2 distribution in a normal tissue
Li, Mao, Li, Yan and Wen, Peng (Paul). 2012. "Tumor-induced effects on PO2 distribution in a normal tissue." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211594BMICA-independent component analysis based on B-spline mutual information estimator
Walters-Williams, Janett and Li, Yan. 2012. "BMICA-independent component analysis based on B-spline mutual information estimator." Signal and Image Processing. 3 (2), pp. 33-52. https://doi.org/10.5121/sipij.2012.3203Distance education platform for effective learning in computer networking courses
Lai, David, Venkatakrishnan, Vijayakrishnan and Li, Yan. 2012. "Distance education platform for effective learning in computer networking courses." Wang, Chih-Chien (ed.) 2012 International Conference on Applied and Theoretical Information Systems Research (ATISR 2012). Taipei, Taiwan 10 - 12 Feb 2012 Taipei, Taiwan.The effects of time-delay on feedback control of depth of anesthesia
Abdulla, Shahab A. and Wen, Peng. 2012. "The effects of time-delay on feedback control of depth of anesthesia." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211747Depth of anaesthesia control investigation using robust deadbeat control technique
Abdulla, Shahab and Wen, Peng. 2012. "Depth of anaesthesia control investigation using robust deadbeat control technique." Tetsuo, Kobayashi, Tetsuo, Touge, Hisao, Tachibana and Jinglong, Wu (ed.) 2012 International Conference on Complex Medical Engineering (ICME 2012). Kobe, Japan 01 - 04 Jul 2012 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2012.6275636Measuring and reflecting depth of anesthesia using wavelet and power spectral density
Nguyen-Ky, Tai, Wen, Peng, Li, Yan and Gray, Robert. 2011. "Measuring and reflecting depth of anesthesia using wavelet and power spectral density." IEEE Transactions on Information Technology in Biomedicine. 15 (4), pp. 630-639. https://doi.org/10.1109/TITB.2011.2155081Developing a logistic regression model with cross-correlation for motor imagery signal recognition
Li, Yan, Wu, Jinglong and Yang, Jingjing. 2011. "Developing a logistic regression model with cross-correlation for motor imagery signal recognition." 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876793Clustering technique-based least square support vector machine for EEG signal classification
Siuly, S., Li, Yan and Wen, Peng (Paul). 2011. "Clustering technique-based least square support vector machine for EEG signal classification." Computer Methods and Programs in Biomedicine. 104 (3), pp. 358-372. https://doi.org/10.1016/j.cmpb.2010.11.014Twin rotor system modelling de-coupling and optimal control
Wen, Peng and Li, Yan. 2011. "Twin rotor system modelling de-coupling and optimal control." ICMA 2011: IEEE International Conference on Mechatronics and Automation. Beijing, China 07 - 10 Aug 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICMA.2011.5986259Improving the performance of translation wavelet transform using BMICA
Walters-Williams, Janett and Li, Yan. 2011. "Improving the performance of translation wavelet transform using BMICA." International Journal of Computer Science and Information Security. 9 (6), pp. 48-56.Evaluating functional connectivity in alcoholics based on maximal weight matching
Zhu, Guohun, Li, Yan and Wen, Peng. 2011. "Evaluating functional connectivity in alcoholics based on maximal weight matching." Journal of Advanced Computational Intelligence and Intelligent Informatics. 15 (9), pp. 1221-1227.Performance comparison of known ICA algorithms to a wavelet-ICA merger
Walters-Williams, Janett and Li, Yan. 2011. "Performance comparison of known ICA algorithms to a wavelet-ICA merger." Signal Processing: An International Journal. 5 (3), pp. 80-92.A new approach to denoising EEG signals - merger of translation invariant wavelet and ICA
Walters-Williams, Janett and Li, Yan. 2011. "A new approach to denoising EEG signals - merger of translation invariant wavelet and ICA." International Journal of Biometrics and Bioinformatics (IJBB). 5 (2), pp. 130-148.EEG signal classification based on simple random sampling technique with least square support vector machine
Li, Yan and Wen, Peng. 2011. "EEG signal classification based on simple random sampling technique with least square support vector machine." International Journal of Biomedical Engineering and Technology. 7 (4), pp. 390-409. https://doi.org/10.1504/IJBET.2011.044417Depth of anaesthesia control techniques and human body models
Abdulla, Shahab Anna. 2012. Depth of anaesthesia control techniques and human body models. PhD Thesis Doctor of Philosophy. University of Southern Queensland.Comparative Study of Distance Functions for Nearest Neighbors
Walters-Williams, Janett and Li, Yan. 2010. "Comparative Study of Distance Functions for Nearest Neighbors." Elleithy, Khaled (ed.) 2008 International Conference on Systems, Computing Sciences and Software Engineering (SCSS 08). Online Netherlands. pp. 79-84 https://doi.org/10.1007/978-90-481-3660-5_14M-service and its framework
Sun, Lili, Li, Yan and Wang, Hua. 2005. "M-service and its framework." 11th Asia-Pacific Conference on Communications. Perth, Australia 03 - 05 Oct 2005 United States. https://doi.org/10.1109/APCC.2005.1554180Convection drying process modeling and simulation study based on tomato
Shahab, Anna, Wen, Peng and Richard, George. 2009. "Convection drying process modeling and simulation study based on tomato." Giannoccaro, Nicola Ivan and Klingajay, Mongkorn (ed.) International Conference on Robotics, Informatics, Intelligence Control System Technology (RIIT 2009). Bangkok, Thailand 11 - 14 Dec 2009 Bangkok, Thailand.Classification of EEG signals using sampling techniques and least square support vector machines
Li, Yan and Wen, Peng. 2009. "Classification of EEG signals using sampling techniques and least square support vector machines." Wen, Peng (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_47EEG analysis on skull conductivity perturbations using realistic head model
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2009. "EEG analysis on skull conductivity perturbations using realistic head model." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_26Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points - A Review
Zou, Weibao, Li, Yan, Li, Zhilin and Ding, Xiaoli. 2009. "Improvement of the Accuracy of InSAR Image Co-Registration Based On Tie Points - A Review." Sensors. 9 (2), pp. 1259-1281. https://doi.org/10.3390/s90201259Minimum packet drop sequences based networked control system model with embedded Markov chain
Wen, Peng and Li, Yan. 2009. "Minimum packet drop sequences based networked control system model with embedded Markov chain." Simulation Modelling Practice and Theory. 17 (10), pp. 1635-1641. https://doi.org/10.1016/j.simpat.2009.07.003Protecting disseminative information in e-learning
Sun, Lili, Wang, Hua and Li, Yan. 2008. "Protecting disseminative information in e-learning." Leung, Howard, Li, Frederick, Lau, Rynson and Li, Qing (ed.) ICWL 2007: 6th International Conference on Web-Based Learning . Edinburgh, United Kingdom 15 - 17 Aug 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78139-4_49Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation." Computers in Biology and Medicine. 39 (1), pp. 40-45. https://doi.org/10.1016/j.compbiomed.2008.10.007Effects of white matter on EEG of multi-layered spherical head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Effects of white matter on EEG of multi-layered spherical head models." Hoque, Aminul and Choudhury, Mohammad (ed.) 5th International Conference on Electrical and Computer Engineering (ICECE 2008). Dhaka, Bangladesh 20 - 22 Dec 2008 Bangladesh. https://doi.org/10.1109/ICECE.2008.4769173A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "A study of white matter and skull inhomogeneous anisotropic tissue conductivities on EEG forward head modeling." Karim, Mohammad (ed.) DMAI 2008: 1st IEEE International Workshop on Data Mining and Artificial Intelligence. Khulna, Bangladesh 24 - 27 Dec 2008 Bangladesh. https://doi.org/10.1109/ICCITECHN.2008.4803103Tension control of a winding machine for rectangular coils
Wen, Peng, Stapleton, Cary and Li, Yan. 2008. "Tension control of a winding machine for rectangular coils." Wen, Changyun and Pham, Thuong Cat (ed.) 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). Hanoi, Vietnam 17 - 20 Dec 2008 United States. https://doi.org/10.1109/ICARCV.2008.4795843A case study using neural networks algorithms: horse racing predictions in Jamaica
Williams, Janett and Li, Yan. 2008. "A case study using neural networks algorithms: horse racing predictions in Jamaica." Arabnia, Hamid R. and Mun, Yougsong (ed.) ICAI 2008: International Conference on Artificial Intelligence. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Influence of white matter inhomogeneous anisotropy on EEG forward computing
Bashar, R., Li, Y. and Wen, P.. 2008. "Influence of white matter inhomogeneous anisotropy on EEG forward computing." Physical and Engineering Sciences in Medicine. 31 (2), pp. 122-130. https://doi.org/10.1007/BF03178586XML and web services security
Sun, Lili and Li, Yan. 2008. "XML and web services security." CSCWD 2008: 12th International Conference on Computer Supported Cooporative Work in Design. Xi'an, China 16 - 18 Apr 2008 Piscataway, NJ, USA. https://doi.org/10.1109/CSCWD.2008.4537075Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification
Zou, Weibao, Li, Yan and Tang, Arthur. 2009. "Effects of the number of hidden nodes used in a structured-based neural network on the reliability of image classification." Neural Computing and Applications. 18 (3), pp. 249-260. https://doi.org/10.1007/s00521-008-0177-3Image classification using wavelet coefficients in low-pass bands
Zou, Weibao and Li, Yan. 2007. "Image classification using wavelet coefficients in low-pass bands." Si, Jennie (ed.) 2007 International Joint Conference on Neural Networks (IJCNN). Orlando, United States of America 12 - 17 Aug 2007 United States. https://doi.org/10.1109/IJCNN.2007.4370940Leaf vein extraction using independent component analysis
Li, Yan, Chi, Zheru and Feng, David. 2006. "Leaf vein extraction using independent component analysis." Lee, Tsu-Tian (ed.) 2006 IEEE International Conference on Systems, Man and Cybernetics. Taiwan 08 - 11 Oct 2006 Taiwan. https://doi.org/10.1109/ICSMC.2006.384738Improvement of image classification with wavelet and independent component analysis (ICA) based on a structured neural network
Zou, Weibao, Li, Yan, Lo, King Chuen and Chi, Zheru. 2006. "Improvement of image classification with wavelet and independent component analysis (ICA) based on a structured neural network." Yen, Gary (ed.) 2006 International Joint Conference on Neural Networks (IJCNN). Vancouver, Canada United States. https://doi.org/10.1109/IJCNN.2006.246915Using invariant translation to denoise electroencephalogram signals
Walters-Williams, Janett and Li, Yan. 2011. "Using invariant translation to denoise electroencephalogram signals." American Journal of Applied Sciences. 8 (11), pp. 1122-1130. https://doi.org/10.3844/ajassp.2011.1122.1130Fruit drying process: analysis, modeling and simulation
Abdulla, Shahab, Wen, Paul, Landers, Richard and Yousif, B. F.. 2011. "Fruit drying process: analysis, modeling and simulation." Scientific Research and Essays. 6 (23), pp. 4915-4924.Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling." Physical and Engineering Sciences in Medicine. 33 (2), pp. 145-152. https://doi.org/10.1007/s13246-010-0015-7Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2009. "Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_44Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method." Biomedical Signal Processing and Control. 5 (1), pp. 59-65. https://doi.org/10.1016/j.bspc.2009.03.001A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing
Bashar, M. R., Li, Y. and Wen, P.. 2010. "A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing." Physical and Engineering Sciences in Medicine. 33 (1), pp. 11-21. https://doi.org/10.1007/s13246-010-0009-5De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients
Nguyen-Ky, T., Wen, Peng, Li, Yan and Gray, Robert. 2010. "De-noising a raw EEG signal and measuring depth of anaesthesia for general anaesthesia patients." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558834Cooperative education in USQ networking programs with leading industry organisation and service to South-East Queensland regional IT professional
Li, Yan. 2010. "Cooperative education in USQ networking programs with leading industry organisation and service to South-East Queensland regional IT professional." Cater-Steel, Aileen and Cater, Emily (ed.) Women in engineering, science and technology: education and career challenges. Hershey, PA, United States. IGI Global. pp. 227-231Effects of local tissue conductivity on spherical and realistic head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2010. "Effects of local tissue conductivity on spherical and realistic head models." Physical and Engineering Sciences in Medicine. 33 (3), pp. 233-242. https://doi.org/10.1007/s13246-010-0027-3An improved detrended moving-average method for monitoring the depth of anesthesia
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2010. "An improved detrended moving-average method for monitoring the depth of anesthesia." IEEE Transactions on Biomedical Engineering. 57 (10), pp. 2369-2378. https://doi.org/10.1109/TBME.2010.2053929Access control method with XML databases
Sun, Lili, Li, Yan and Wang, Hua. 2011. "Access control method with XML databases." Wang, John (ed.) Information systems and new applications in the service sector: models and methods. Hershey, PA, USA. IGI Global. pp. 227-239Robust internal model control for depth of anaesthesia
Abdulla, Shahab Anna and Wen, Peng. 2011. "Robust internal model control for depth of anaesthesia." International Journal of Mechatronics and Automation. 1 (1), pp. 1-8. https://doi.org/10.1504/IJMA.2011.039150B-spline mutual information independent component analysis
Walters-Williams, Janett and Li, Yan. 2010. "B-spline mutual information independent component analysis." International Journal of Computer Science and Network Security. 10 (7), pp. 129-141.Comparison of extended and unscented Kalman filters applied to EEG signals
Walters-Williams, Janett and Li, Yan. 2010. "Comparison of extended and unscented Kalman filters applied to EEG signals." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Brisbane, Australia. https://doi.org/10.1109/ICCME.2010.5558873Study of EEGs from somatosensory cortex and Alzheimer's disease sources
Bashar, Md. R., Li, Yan and Wen, Peng. 2012. "Study of EEGs from somatosensory cortex and Alzheimer's disease sources." International Journal of Biological and Life Sciences. 8 (2), pp. 62-66.Analysis and classification of EEG signals using a hybrid clustering technique
Li, Y. and Wen, P.. 2010. "Analysis and classification of EEG signals using a hybrid clustering technique." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558875The design and investigation of model based internal model control for the regulation of hypnosis
Abdulla, Shahab, Wen, Peng and Xiang, Wei. 2010. "The design and investigation of model based internal model control for the regulation of hypnosis." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749833Effects of the local skull and spongiosum conductivities on realistic head modeling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Effects of the local skull and spongiosum conductivities on realistic head modeling." Li, Y., Yang, Jiajia, Wen, P. and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558877Depth of anesthesia control using internal model control techniques
Anna, Shahab and Wen, Peng. 2010. "Depth of anesthesia control using internal model control techniques." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558825Non-layered human head model for EEG
Wen, Peng and Li, Yan. 2003. "Non-layered human head model for EEG." IEEE EMBS Asian-Pacific Conference on Biomedical Engineering (2003). Kyoto, Japan 20 - 22 Oct 2003 Piscataway, NJ, United States.Methods for the blind signal separation problem
Li, Yan, Wen, Peng and Powers, David. 2003. "Methods for the blind signal separation problem." ICNNSP 2003: International Conference on Neural Networks and Signal Processing. Nanjing, China 14 - 17 Dec 2003 Piscataway, NJ. United States. https://doi.org/10.1109/ICNNSP.2003.1281131An ensemble learning algorithm for blind signal separation problem
Li, Yan and Wen, Peng. 2005. "An ensemble learning algorithm for blind signal separation problem." 2005 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2005). Vienna, Austria 28 - 30 Nov 2005 Washington, DC, united States.Estimation of mutual information: a survey
Walters-Williams, Janett and Li, Yan. 2009. "Estimation of mutual information: a survey." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_49Using usage control to access XML databases
Sun, Lili and Li, Yan. 2009. "Using usage control to access XML databases." International Journal of Information Systems in the Service Sector. 1 (3), pp. 32-44.Modified detrended fluctuation analysis method in depth of anesthesia assessment application
Nguyen-Ky, T., Wen, Peng and Li, Yan. 2008. "Modified detrended fluctuation analysis method in depth of anesthesia assessment application." Arabnia, Hamid R. (ed.) BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Tissue conductivity anisotropy inhomogeneity study in EEG head modelling
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Tissue conductivity anisotropy inhomogeneity study in EEG head modelling." BIOCOMP 2008: International Conference on Bioinformatics and Computational Biology. Las Vegas, United States 14 - 17 Jul 2008 Las Vegas, NV. USA.Service-mining based on knowledge and customer databases
Li, Yan, Wen, Peng, Wang, Hu and Gong, Chunqiang. 2007. "Service-mining based on knowledge and customer databases." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_63XML schema in XML documents with usage control
Sun, Lili and Li, Yan. 2007. "XML schema in XML documents with usage control." International Journal of Computer Science and Network Security. 7 (10), pp. 170-177.MR brain image segmentation based on self-organizing map network
Li, Yan and Chi, Zheru. 2005. "MR brain image segmentation based on self-organizing map network." International Journal of Information Technology. 11 (8), pp. 45-53.XML undeniable signatures
Sun, Lili and Li, Yan. 2005. "XML undeniable signatures." Mohammadian, M. (ed.) International Conference on Intelligent Agents, Web Technologies & Internet Commerce (2005). Vienna, Austria 28 - 30 Nov 2005 USA.Comparison of blind source separation algorithms
Li, Yan, Powers, David and Peach, James. 2001. "Comparison of blind source separation algorithms." Mastorakis, Nikos E. (ed.) WSES International Conference on Neural Networks and Applications 2001. Tenerife, Spain 11 - 15 Feb 2001 Greece.Design of high-performance networked real-time control systems
Wen, Peng, Cao, Jiannong and Li, Yan. 2007. "Design of high-performance networked real-time control systems." IET Control Theory and Applications. 1 (5), pp. 1329-1335. https://doi.org/10.1049/iet-cta:20060424An internet based supervision control and data acquisition system with fault tolerance
Wen, Peng and Li, Yan. 2004. "An internet based supervision control and data acquisition system with fault tolerance." 2004 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2004). Gold Coast, Australia 12 - 14 Jul 2004 Washington, DC, united States.Deadline fault tolerance in a networked real-time system
Wen, Peng and Li, Yan. 2006. "Deadline fault tolerance in a networked real-time system." 4th International Conference on Active Media Technology (AMT 2006). Brisbane, Australia 07 - 09 Jun 2006 United States.EEG human head modelling based on heterogeneous tissue conductivity
Wen, Peng and Li, Yan. 2006. "EEG human head modelling based on heterogeneous tissue conductivity." Professor Yogesh K Dwivedi. 29 (3), pp. 235-240.The real-time computing model for a network based control system
Wen, Peng and Li, Yan. 2004. "The real-time computing model for a network based control system." 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004) . Kunming, China 06 - 09 Dec 2004 United States.An approach of context ontology for robust face recognition against illumination variations
Bashar, M. Rezaul, Li, Yan and Rhee, Phill Kyu. 2007. "An approach of context ontology for robust face recognition against illumination variations." Kabir, Lutful and Hasan, Kamrul (ed.) ICICT 2007: International Conference on Information and Communication Technology. Dhaka, Bangladesh 07 - 09 Mar 2007 Dhaka, Bangladesh. https://doi.org/10.1109/ICICT.2007.375351DTD level authorization in XML documents with usage control
Sun, Lili and Li, Yan. 2006. "DTD level authorization in XML documents with usage control." International Journal of Computer Science and Network Security. 6 (11), pp. 244-250.Bayesian model for brain computation
Li, Yan and Wen, Peng. 2005. "Bayesian model for brain computation." Wu, Jinglong and Ito, Koji (ed.) 1st International Conference on Complex Medical Engineering (CME 2005). Takamatsu, Japan 15 - 18 May 2005 Kagawa, Japan.Service-mining Based on the Knowledge and Customer Databases
Wang, Hu, Gong, Chunqiang and Li, Yan. 2007. "Service-mining Based on the Knowledge and Customer Databases ." 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). Melbourne, Australia 11 - 13 Jul 2007 United States. https://doi.org/10.1109/ICIS.2007.165Comparison study of different head model structures with homogeneous/inhomogeneous conductivity
Wen, P. and Li, Y.. 2001. "Comparison study of different head model structures with homogeneous/inhomogeneous conductivity." Physical and Engineering Sciences in Medicine. 24 (1), pp. 31-36. https://doi.org/10.1007/BF03178283This item comprises data from the following sources: Web of Science