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 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
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
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
A Generative Adversarial Active Learning Method for Effective Outlier Detection
Bah, Mohamed Jaward, Zhang, Ji, Yu, Ting, Xia, Feng, Li, Zhao, Zhou, Shuigeng and Wang, Hongzhi. 2023. "A Generative Adversarial Active Learning Method for Effective Outlier Detection." 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022). Macao, China 31 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICTAI56018.2022.00027Paper
A graph-powered large-scale fraud detection system
Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-wArticle
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
A protocol for untraceable electronic cash
Wang, Hua and Zhang, Yanchun. 2000. "A protocol for untraceable electronic cash." Lu, Hongjun and Zhou, Aoying (ed.) 1st Web-Age Information Management International Conference (WAIM 2000). Shanghai, China 21 - 23 Jun 2000 Berlin, Germany. https://doi.org/10.1007/3-540-45151-X_18Paper
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
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
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
Agricultural robotics
Billingsley, John, Oetomo, Denny and Reid, John. 2009. "Agricultural robotics." IEEE Robotics and Automation magazine. 16 (4), pp. 16, cont-19. https://doi.org/10.1109/MRA.2009.934829Article
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
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4Paper
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
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
An Efficient Embedding Framework for Uncertain Attribute Graph
Jiang, Ting, Yu, Ting, Qiao, Xueting and Zhang, Ji. 2023. "An Efficient Embedding Framework for Uncertain Attribute Graph." 34th International Conference on Database and Expert Systems Applications (DEXA 2023). Penang, Malaysia 28 - 30 Aug 2023 Switzerland . https://doi.org/10.1007/978-3-031-39821-6_18Paper
An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs
Yang, Yun, Yu, Hui, Zhao, Jin, Zhang, Yu, Liao, Xiaofei, Jiang, Xinyu, Jin, Hai, Liu, Haikun, Mao, Fubing, Zhang, Ji and Wang, Biao. 2023. "An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs." Scientia Sinica Informationis. 53 (8), pp. 1575-1592. https://doi.org/10.1360/SSI-2022-0191Article
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
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
Artificial intelligence as a boundary-crossing object for employee engagement and performance
Prentice, Catherine, Wong, IpKin Anthony and Lin, Zhiwei. 2023. "Artificial intelligence as a boundary-crossing object for employee engagement and performance." Journal of Retailing and Consumer Services. 73. https://doi.org/10.1016/j.jretconser.2023.103376Article
Assistive technology: opportunities and implications
Horner, Barbara, Soar, Jeffrey and Koch, Bill. 2009. "Assistive technology: opportunities and implications." Nay, Rhonda and Garrett, Sally (ed.) Older people: issues and innovations in care, 3rd ed.. Sydney, Australia. Elsevier. pp. 391-412Edited book (chapter)
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
Automation and control in surface irrigation systems: current status and expected future trends
Koech, Richard, Smith, Rod and Gillies, Malcolm. 2010. "Automation and control in surface irrigation systems: current status and expected future trends." Goh, Steven C. and Wang, Hao (ed.) 2010 Southern Region Engineering Conference (SREC 2010). Toowoomba, Australia 11 - 12 Nov 2010 Toowoomba, Australia.Paper
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
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2023. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3273355Article
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
Comparison of CNN-based deep learning architectures for rice diseases classification
Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Article
Concerns of ageing and interest in assistive technologies: convenience sampling of attendees at an aged care technology exhibition in China
Soar, Jeffrey and Su, Ying. 2014. "Concerns of ageing and interest in assistive technologies: convenience sampling of attendees at an aged care technology exhibition in China." Liu, Kecheng, Gulliver, Stephen R., Li, Weizi and Yu, Changrui (ed.) 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations (ICISO 2014): Service Science and Knowledge Innovation. Shanghai, China 23 - 24 May 2014 New York, NY. United States. https://doi.org/10.1007/978-3-642-55355-4_43Paper
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
DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers
Zhang, Ji, Liu, Chia-Chun and Ying, Josh Jia-Ching. 2023. "DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers." Journal of Ambient Intelligence and Humanized Computing. 14 (12), pp. 15997-16009. https://doi.org/10.1007/s12652-023-04554-4Article
Dependency-aware release planning for software projects using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M. W.. 2019. "Dependency-aware release planning for software projects using fuzzy graphs and integer programming." Journal of Intelligent and Fuzzy Systems. 37 (3), pp. 3693-3707. https://doi.org/10.3233/JIFS-182810Article
Dependency-aware software requirements selection using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M.W.. 2021. "Dependency-aware software requirements selection using fuzzy graphs and integer programming." Expert Systems with Applications. 167, pp. 1-23. https://doi.org/10.1016/j.eswa.2020.113748Article
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
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
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)
Ear-phone: a context-aware noise mapping using smart phones
Rana, Rajib, Chou, Chun Tung, Bulusu, Nirupama, Kanhere, Salil and Hu, Wen. 2015. "Ear-phone: a context-aware noise mapping using smart phones." Pervasive and Mobile Computing. 17 (Part A), pp. 1-22. https://doi.org/10.1016/j.pmcj.2014.02.001Article
Engaging with intelligent voice assistants for wellbeing and brand attachment
Prentice, Catherine, Loureiro, Sandra Maria Correia and Guerreiro, João. 2023. "Engaging with intelligent voice assistants for wellbeing and brand attachment." Journal of Brand Management. 30 (5), pp. 449-460. https://doi.org/10.1057/s41262-023-00321-0Article
Engineering emotionally intelligent agents
Baillie, Penny, Toleman, Mark and Lukose, Dickson. 2003. "Engineering emotionally intelligent agents." Plekhanova, Valentina (ed.) Intelligent agent software engineering. Hershey, PA. United States. IGI Global. pp. 99-117Edited book (chapter)
English language teaching with robots Robot aided language learning
Son, Jeong-Bae and Han, Jeonghye. 2009. "English language teaching with robots Robot aided language learning." Im, Byoung-Bin and Jeong, Dong-Bin (ed.) Childhood english education 11. Seoul, Korea. Hankook Munhwasa. pp. 251-261Edited book (chapter)
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