460299. Artificial intelligence not elsewhere classified
| Title | 460299. Artificial intelligence not elsewhere classified |
|---|---|
| Parent | 4602. Artificial intelligence |
Latest research outputs
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A fuzzy framework for prioritization and partial selection of security requirements in software projects
Mougouei, Davoud, Powers, David M.W. and Mougouei, Elahe. 2019. "A fuzzy framework for prioritization and partial selection of security requirements in software projects." Journal of Intelligent and Fuzzy Systems. 37 (2), pp. 2671-2686. https://doi.org/10.3233/JIFS-182907Article
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG
Tawhid, Md. Nurul Ahad, Siuly, Siuly and Li, Tianning. 2022. "A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG." IEEE Transactions on Instrumentation and Measurement. 71, pp. 1-11. https://doi.org/10.1109/TIM.2022.3217515Article
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Article
FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids
Zhu, Lin, You, Shutang, Yin, He, Zhao, Yinfeng, Li, Fuhua, Yao, Wenxuan, O'Reilley, Chris, Yu, Wenpeng, Zeng, Chujie, Deng, Xianda, Zhao, Yi, Cui, Yi, Zhang, Yao and Liu, Yilu. 2020. "FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids." 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). Delft, Netherlands 26 - 28 Oct 2020 Delft, Netherlands. https://doi.org/10.1109/ISGT-Europe47291.2020.9248857Paper
Ambient Synchrophasor Measurement Based System Inertia Estimation
Cui, Yi, You, Shutang and Liu, Yilu. 2020. "Ambient Synchrophasor Measurement Based System Inertia Estimation." 2020 IEEE Power and Energy Society General Meeting (PESGM). Montreal, Canada 02 - 06 Aug 2020 Montreal, Canada. https://doi.org/10.1109/pesgm41954.2020.9281662Paper
Multi-source information fusion for smart health with artificial intelligence
Tao, Xiaohui and Velasquez, Juan D.. 2022. "Multi-source information fusion for smart health with artificial intelligence." Information Fusion. 83-84, pp. 93-95. https://doi.org/10.1016/j.inffus.2022.03.010Editorial
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752Article
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Article
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Prasad, Ramendra, Abdulla, Shahab and Yaseen, Zaher Mundher. 2022. "Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach." Water Resources Management. 36 (12), p. 4637–4676. https://doi.org/10.1007/s11269-022-03270-6Article
Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective
Jones, Rosalind, Mougouei, Davoud and Evans, Simon L.. 2021. "Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective." Human Behavior and Emerging Technologies. 3 (5), pp. 832-842. https://doi.org/10.1002/hbe2.304Article
Federated Learning with Real-world Datasets: Compliance with the Privacy Act
Tang, Zhaohui and Keoh, Sye Loong. 2022. "Federated Learning with Real-world Datasets: Compliance with the Privacy Act." Cho, Seongsoo (ed.) 9th International Conference on Advanced Engineering and ICT-Convergence (ICAEIC-2022). Jeju Island, Korea 13 - 15 Jul 2022 Seoul, Korea.Paper
Reordering and Partitioning of Distributed Quantum Circuits
Dadkhah, Davood, Zomorodi, Mariam, Hosseini, Seyed Ebrahim, Plawiak, Pawel and Zhou, Xujuan. 2022. "Reordering and Partitioning of Distributed Quantum Circuits." IEEE Access. 10, pp. 70329-70341. https://doi.org/10.1109/ACCESS.2022.3186485Article
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2022. "Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world." World Wide Web. 25, pp. 1223-1241. https://doi.org/10.1007/s11280-022-01030-5Article
Modeling and Selection of Interdependent Software Requirements Using Fuzzy Graphs
Mougouei, Davoud and Powers, David M. W.. 2017. "Modeling and Selection of Interdependent Software Requirements Using Fuzzy Graphs." International Journal of Fuzzy Systems. 19 (6), pp. 1812-1828. https://doi.org/10.1007/s40815-017-0364-4Article
An 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_6Paper
ADHD 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_7Paper
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Bargshady, Ghazal, Zhou, Xujuan, Barua, Prabal Datta, Gururajan, Raj, Li, Yuefeng and Acharya, U. Rajendra. 2022. "Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images." Pattern Recognition Letters. 153, pp. 67-74. https://doi.org/10.1016/j.patrec.2021.11.020Article
Distant Supervision for E-commerce Query Segmentation via Attention Network
Li, Zhao, Ding, Donghui, Zou, Pengcheng, Gong, Yu, Chen, Xi, Zhang, Ji, Gao, Jianliang, Wu, Youxi and Duan, Yucong. 2022. "Distant Supervision for E-commerce Query Segmentation via Attention Network." Gao, Honghao, Kim, Jung Yoon, Hussain, Walayat, Iqbal, Muddesar and Duan, Yucong (ed.) Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge. Switzerland . Springer. pp. 3-19Edited book (chapter)
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography
Ying, Josh Jia-Ching, Yang, Wan-Ju, Zhang, Ji, Ni, Yu-Ching, Lin, Chia-Yu, Tseng, Fan-Pin and Tao, Xiaohui. 2022. "A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_21Paper
Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2022. "Logit Perturbation." 36th AAAI Conference on Artificial Intelligence (AAAI 2022). 22 Feb - 01 Mar 2022 United Sates. https://doi.org/10.1609/aaai.v36i2.20024Paper
Learning discriminative representation with global and fine-grained features for cross-view gait recognition
Xiao, Jing, Yang, Huan, Xie, Kun, Zhu, Jia and Zhang, Ji. 2022. "Learning discriminative representation with global and fine-grained features for cross-view gait recognition." CAAI Transactions on Intelligence Technology. 7 (2), pp. 187-199. https://doi.org/10.1049/cit2.12051Article
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection
Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429Article
A Survey on Contact Tracing: The Latest Advancements and Challenges
Jiang, Ting, Zhang, Yang Zhang, Zhang, Minhao, Yu, Ting, Chen, Yizheng, Lu, Chenhao, Zhang, Ji, Li, Zhao, Gao, Jun and Zhou, Shuigeng. 2022. "A Survey on Contact Tracing: The Latest Advancements and Challenges." ACM Transactions on Spatial Algorithms and Systems. 8 (2), pp. 1-35. https://doi.org/10.1145/3494529Article
The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry
Chen, Ying, Prentice, Catherine, Weaven, Scott and Hisao, Aaron. 2022. "The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry." Frontiers in Psychology. 13. https://doi.org/10.3389/fpsyg.2022.912339Article
Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication
Batch, Catherine. 2022. Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication. PhD Thesis Doctor of Philosophy . University of Southern Queensland. https://doi.org/10.26192/wv12yPhD Thesis
Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Zhou, Xujuan and Zhu, Guohun. 2022. "Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques." Mathematics. 10 (23). https://doi.org/10.3390/math10234570Article
The altruistic robot: do what I want, not just what I say
Billingsley, Richard, Billingsley, John, Gardenfors, Peter, Peppas, Pavlos, Prade, Henri, Skillicorn, David and Williams, Mary-Anne. 2017. "The altruistic robot: do what I want, not just what I say." Moral, S., Pivert, O., Sánchez, D. and Marín, N. (ed.) 11th International Conference on Scalable Uncertainty Management (SUM 2017). Granada, Spain 04 - 06 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-67582-4_11Paper
Development of flood risk monitoring and forecasting system with artificial intelligence predictive models for community risk management in Fiji
Moishin, Mohammed. 2021. Development of flood risk monitoring and forecasting system with artificial intelligence predictive models for community risk management in Fiji. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/zwww-vw94Masters Thesis
Application of deep learning on UAV-based aerial images for flood detection
Munawar, Hafiz Suliman, Ullah, Fahim, Qayyum, Siddra and Heravi, Amirhossein. 2021. "Application of deep learning on UAV-based aerial images for flood detection." Smart Cities. 4 (3), pp. 1220-1243. https://doi.org/10.3390/smartcities4030065Article
A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN
Chen, Xing and Wen, Paul. 2020. "A Novel Real-time Depth of Anaesthesia Monitoring Method using Detrended Fluctuation Analysis and ANN." 2020 5th International Conference on Biomedical Signal and Image Processing (ICBIP 2020). Suzhou, China 21 - 23 Aug 2020 New York, United States. https://doi.org/10.1145/3417519.3419403Paper
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Koh, Joel En Wei, de Michele, Simona, Sudarshan, Vidya K., Jahmunah, V., Ciaccio, Edward J., Ooi, Chui Ping, Gururajan, Raj, Gururajan, Rashmi, Oh, Shu Lih, Lewis, Suzanne K., Green, Peter H., Bhagat, Govind and Acharya, U. Rajendra. 2021. "Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach." Computer Methods and Programs in Biomedicine. 203. https://doi.org/10.1016/j.cmpb.2021.106010Article
Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia
Kumie, Tobias. 2020. Development and evaluation of data-driven models for electricity demand forecasting in Queensland, Australia. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/tr73-nb90Masters Thesis
Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI
Phillips, Peter J. and Pohl, Gabriela. 2021. "Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI." RUSI Journal. 165 (7), pp. 22-32. https://doi.org/10.1080/03071847.2021.1893126Article
Global research on artificial intelligence-enhanced human electroencephalogram analysis
Chen, Xieling, Tao, Xiaohui, Wang, Fu Lee and Xie, Haoran. 2022. "Global research on artificial intelligence-enhanced human electroencephalogram analysis." Neural Computing and Applications. 34 (14), pp. 11295-11333. https://doi.org/10.1007/s00521-020-05588-xArticle
Event prediction through structural intelligence in online social networks
Tan, Leonard. 2020. Event prediction through structural intelligence in online social networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/asxq-ax90PhD Thesis
Community-diversity Driven Influence Maximization on Social Networks
Li, Jianxin, Cai, Taotao, Ke, Deng, Wang, Xinjue, Sellis, Timos and Xia, Feng. 2020. "Community-diversity Driven Influence Maximization on Social Networks." Information Systems. 92. https://doi.org/10.1016/j.is.2020.101522Article
Chromosome Encoding Schemes in Genetic Algorithms for the Flexible Job Shop Scheduling: A State-of-art Review Useful for Artificial Intelligence Applications
Xuewen, Huang, Islam, Sardar M. N. and Zhou, Yuxun. 2020. "Chromosome Encoding Schemes in Genetic Algorithms for the Flexible Job Shop Scheduling: A State-of-art Review Useful for Artificial Intelligence Applications." 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA). Australia 25 - 27 Nov 2020 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CITISIA50690.2020.9371789Paper
Power System Disturbance Localization Using Recurrence Quantification Analysis And Minimum-volume-enclosing Ellipsoid: US 10371740 B2
Cui, Yi, Bai, Feifei, Yao, Wenxuan, Liu, Yong, Wu, Ling and Liu, Yilu. 2019. Power System Disturbance Localization Using Recurrence Quantification Analysis And Minimum-volume-enclosing Ellipsoid: US 10371740 B2. 10371740Patent