A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network

Article

Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678
Article Title

A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network

ERA Journal ID5039
Article CategoryArticle
AuthorsRa, Jee Sook, Li, Tianning and Li, Yan
Journal TitleComputer Methods and Programs in Biomedicine
Journal Citation240
Article Number107678
Number of Pages10
Year2023
PublisherElsevier
Place of PublicationIreland
ISSN0169-2607
1872-7565
Digital Object Identifier (DOI)https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0169260723003437
Abstract

Background and objective
Epilepsy is a serious brain disorder affecting more than 50 million people worldwide. If epileptic seizures can be predicted in advance, patients can take measures to avoid unfortunate consequences. Important approaches for epileptic seizure predictions are often signal transformation and classification using electroencephalography (EEG) signals. A time-frequency (TF) transformation, such as the short-term Fourier transform (STFT), has been widely used over many years but curtailed by the Heisenberg uncertainty principle. This research focuses on decomposing epileptic EEG signals with a higher resolution so that an epileptic seizure can be predicted accurately before its episodes.

Methods
This study applies a synchroextracting transformation (SET) and singular value decomposition (SET-SVD) to improve the time-frequency resolution. The SET is a more energy-concentrated TF representation than classical TF analysis methods.

Results
The pre-seizure classification method employing a 1-dimensional convolutional neural network (1D-CNN) reached an accuracy of 99.71% (the CHB-MIT database) and 100% (the Bonn University database). The experiments on the CHB-MIT show that the accuracy, sensitivity and specificity from the SET-SVD method, compared with the results of the STFT, are increased by 8.12%, 6.24% and 13.91%, respectively. In addition, a multi-layer perceptron (MLP) was also used as a classifier. Its experimental results also show that the SET-SVD generates a higher accuracy, sensitivity and specificity by 5.0%, 2.41% and 11.42% than the STFT, respectively.

Conclusions
The results of two classification methods (the MLP and 1D-CNN) show that the SET-SVD has the capacity to extract more accurate information than the STFT. The 1D-CNN model is suitable for a fast and accurate patient-specific EEG classification.

KeywordsEEG analysisSynchroextracting transform (SET)Singular value decomposition (SVD)1-dimensional convolutional neural network (1D-CNN)Epileptic seizure prediction
ANZSRC Field of Research 2020460207. Modelling and simulation
400399. Biomedical engineering not elsewhere classified
Byline AffiliationsSchool of Mathematics, Physics and Computing
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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. 363-384
Complex 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.2018.01.024
Simulation 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/ece3.5210
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
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EEG sleep stages identification based on weighted undirected complex networks
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Electrocardiogram 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/10.1155/2019/7196156
Short-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.2019.109293
Modelling 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.2019.00045
An 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_46
Weekly 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.2019.02.012
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
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
A 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.2018.11.014
An 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.2017.11.019
Epileptic 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/s00500-018-3487-0
Particle 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/20186408001
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
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. 446-464
Soil 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.2018.05.035
Estimating 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
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Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
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Developing a tunable Q-factor wavelet transform based algorithm for epileptic EEG feature extraction
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A 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_51
Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
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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
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.2018.02.140
Short-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.2017.11.002
Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study
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Classify epileptic EEG signals using weighted complex networks based community structure detection
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An 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.2017.2688460
Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
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Input 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.2017.06.014
Detecting sleep spindles in EEGs using wavelet fourier analysis and statistical features
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An 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.
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.2017.09.036
Complex networks approach for EEG signal sleep stages classification
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Minimum 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/s13638-016-0529-0
A 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.2016.01.046
Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band
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Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan
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Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation
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Data selection in EEG signals classification
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Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal
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Depth of anaesthesia monitors and the latest algorithms
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EEG sleep stages classification based on time domain features and structural graph similarity
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Classifying epileptic EEG signals with delay permutation entropy and multi-scale K-means
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EEG signal analysis and classification: techniques and applications
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IRS-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_58
Fuzzy and non-fuzzy approaches for digital image classification
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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/s00521-014-1753-3
Parallel encryption mode for probabilistic scheme to secure data in the cloud
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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-x
An intelligent recommender system based on predictive analysis in telehealthcare environment
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Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
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An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients
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Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
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Autism Spectrum Disorder: Brain Images and Registration
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Depth of anaesthesia assessment based on time and frequency features of simplified electroencephalogram (EEG)
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Flame-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-y
Study on orthogonal basis NN-based storage modelling for Lake Hume of Upper Murray River, Australia
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Epileptic 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.2014.04.001
Monitoring 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.2013.0113
Modified 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.2013.12.020
A 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.2014.05.011
Real-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/s13246-014-0309-2
Anaesthetic EEG signal denoise using improved nonlocal mean methods
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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/ijsps
Analysis of epileptic EEG signals with simple random sampling J48 algorithm
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Orthogonal Basis Extreme Learning Algorithm and Function Approximation
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An enhanced training algorithm for multilayer neural networks based on reference output of hidden layer
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A cascading structure and training method for multilayer neural network
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Epileptogenic focus detection in intracranial EEG based on delay permutation entropy
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An 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.2013.6482413
Unsupervised 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_16
Consciousness 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.2012.2236649
Identification 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.2013.052447
Comparisons 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/S1016237214500409
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.2012.12.065
Simulation 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/10.1080/10255842.2012.683428
An 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_18
Analysing 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.2012.6513212
Measuring 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.2012.03.004
Improving 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.2012.2184838
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/10.3233/978-1-61499-078-9-163
Tumor-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.2012.6211594
BMICA-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.2012.3203
Distance 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.
Measuring 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.2011.2155081
Developing 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.2011.5876793
Clustering 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.2010.11.014
Twin 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.2011.5986259
Improving 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.2011.044417
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_14
M-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.2005.1554180
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_47
EEG 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_26
Improvement 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/s90201259
Minimum 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.2009.07.003
Protecting 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_49
Theoretical 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.2008.10.007
Effects 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.2008.4769173
A 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.2008.4803103
Tension 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.2008.4795843
A 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/BF03178586
XML 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.2008.4537075
Effects 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/s00521-008-0177-3
Image 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.2007.4370940
Leaf 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.2006.384738
Improvement 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.2006.246915
Using 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.2011.1122.1130
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/s13246-010-0015-7
Monitoring 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_44
Improving 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.2009.03.001
A 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/s13246-010-0009-5
De-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.2010.5558834
Cooperative 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. 227-231
Effects 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/s13246-010-0027-3
An 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.2010.2053929
Access 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. 227-239
B-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.2010.5558873
Study 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.2010.5558875
Effects 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.2010.5558877
Non-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.2003.1281131
An 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_49
Using 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_63
XML 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:20060424
An 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.2007.375351
DTD 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.2007.165
Comparison 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/BF03178283