46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Non-Codeing RNAs Family Prediction Based on RNA Representation and Deep Learning
Teragawa, Shoryu, Wang, Lei and Liu, Yi. 2024. "Non-Codeing RNAs Family Prediction Based on RNA Representation and Deep Learning." N., Shen W.Shen W.Barthes J.-P.Luo J.Qiu T.Zhou X.Zhang J.Zhu H.Peng K.Xu T.Chen (ed.) 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580496Paper
Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems
Sharma, Ekta, Deo, Ravinesh C, Davey, Christopher P., Carter, Brad D. and Salcedo-sanz, Sancho. 2024. "Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems." 2024 IEEE Conference on Artificial Intelligence (CAI 2024). Singapore 25 - 27 Jun 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CAI59869.2024.00259Paper
Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities
Sharma, Ekta, Deo, Ravinesh C., Davey, Christopher P., Carter, Brad D. and Salcedo-sanz, Sancho. 2024. "Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities." 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2024). Perth, Australia 04 - 07 Jun 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WoWMoM60985.2024.00054Poster
A Lightweight Deep Learning Model for EEG Classification Across Visual Stimuli
Liu, Yi, Goh, Steven, Low, Tobias, Quince, Zach and Teragawa, Shoryu. 2024. "A Lightweight Deep Learning Model for EEG Classification Across Visual Stimuli." 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580396Paper
Stationary Multi-scale Hierarchical Dilated Graph Convolution for Multivariate Time Series Anomaly Detection
Liang, Lifang, Qiu, Xuyi, Zhang, Yan, Guan, Donghai, Zhang, Ji and Yuan, Weiwei. 2024. "Stationary Multi-scale Hierarchical Dilated Graph Convolution for Multivariate Time Series Anomaly Detection." 5th International Conference on Big Data and Security (ICBDS 2023). Nanjing, China 22 - 24 Dec 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-4390-2_5Paper
MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Li, Ming, Li, Lin, Tao, Xiaohui and Huang, Jimmy Xiangji. 2024. "MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness." 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24). Washington DC, United States 14 - 18 Jul 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3626772.3657857Paper
An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors
Li, Lin, Mai, Yunqi, Chu, Yu, Tao, Xiaohui and Yong, Jiaming. 2024. "An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors." N., Shen W.Shen W.Barthes J.-P.Luo J.Qiu T.Zhou X.Zhang J.Zhu H.Peng K.Xu T.Chen (ed.) 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580204Paper
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction
Hu, Kaixi, Li, Lin, Xie, Qing, Tao, Xiaohui and Xu, Guandong. 2024. "CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction." H.V., Onizuka M.Lee J.-G.Tong Y.Xiao C.Ishikawa Y.Lu K.Amer-Yahia S.Jagadish (ed.) 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024). Gifu, Japan 02 - 05 Jul 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-5575-2_7Conference or Workshop item
Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection
Ge, Fei, Zhang, Ji, Wang, Zhen, Zhou, Yuqian and Li, Zhao. 2024. "Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection." H., Zhang W.Yang Z.Wang X.Tung A.Zheng Z.Guo (ed.) 8th APWeb-WAIM joint International Conference on Web and Big Data (APWeb-WAIM 2024). Jinhua, China 30 Aug - 01 Sep 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-7241-4_30Paper
Computational Personality Analysis with Interpretability Empowered Prediction
Elmahalaw, Ahmed R., Li, Lin, Wu, Xiaohua, Tao, Xiaohui and Yong, Jianming. 2024. "Computational Personality Analysis with Interpretability Empowered Prediction." 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580811Paper
AI-supported Authentic Communication with Native Speakers: Exploring EFL Learners' Willingness to Communicate and Emotional Changes
Deng, Yuanlin, Wen, Kaiyu, Dusza, Daniel G. and Huang, Hui-Wen. 2024. "AI-supported Authentic Communication with Native Speakers: Exploring EFL Learners' Willingness to Communicate and Emotional Changes." 2024 8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024). Tokyo, Japan 16 - 18 Mar 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3655497.3655530Paper
A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827Article
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
Zhang, Jiale, Zhu, Chengcheng, Wu, Di, Sun, Xiaobing, Yong, Jianming and Long, Guodong. 2024. "BADFSS: Backdoor Attacks on Federated Self-Supervised Learning." Larson, Kate (ed.) 33rd International Joint Conference on Artificial Intelligence (IJCAI-24). Jeju, Korea 03 - 09 Aug 2024 Korea. https://doi.org/10.24963/ijcai.2024/61Presentation
Breathing into difficult realisations and fumbling forward: Dilemmas of a children’s concert curator
Nicholls, C.D.. 2024. "Breathing into difficult realisations and fumbling forward: Dilemmas of a children’s concert curator ." Critical Autoethnography Conference 2024: Bodies, Breath and World. Brisbane, Australia 25 - 27 Sep 2024Presentation
Making Australian Drought Monitor dataset findable, accessible, interoperable and reusable
Gacenga, Francis, An-Vo, Duc-Anh, McCulloch, Jillian, Young, Richard and Cobon, David. 2024. "Making Australian Drought Monitor dataset findable, accessible, interoperable and reusable." Computers and Electronics in Agriculture. 226. https://doi.org/10.1016/j.compag.2024.109381Article
Researcher-Practitioner Collaboration in Action Design Research
Cronholm, Stefan, Gobel, Hannes and Shrestha, Anup. 2024. "Researcher-Practitioner Collaboration in Action Design Research." Australasian Journal of Information Systems. 28. https://doi.org/10.3127/ajis.v28.4281Article
Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women
Gopalakrishnan, Abinaya. 2024. Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z960xPhD Thesis
Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models
Khosravi, K., Ali, M. and Heddam, S.. 2024. "Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models." International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-024-05944-7Article
CrossDeFi: A Novel Cross-Chain Communication Protocol
Mohammed Abdul, Shezon Saleem, Shrestha, Anup and Yong, Jianming. 2024. "CrossDeFi: A Novel Cross-Chain Communication Protocol." Future Internet. 16 (9). https://doi.org/10.3390/fi16090314Article
From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding
Cai, Borui, Xiang, Yong, Gao, Longxiang, Wu, Di, Zhang, He, Jin, Jiong and Luan, Tom. 2024. "From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding." IEEE Transactions on Knowledge and Data Engineering. 36 (12), pp. 8341-8348. https://doi.org/10.1109/TKDE.2024.3437479Article
Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376Article
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Karbasi, Masoud, Ali, Mumtaz, Farooque, Aitazaz Ahsan, Jamei, Mehdi, Khosravi, Khabat, Cheema, Saad Javed and Yaseen, Zaher Mundher. 2024. "Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting." Expert Systems with Applications. 256. https://doi.org/10.1016/j.eswa.2024.124900Article
Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems
Wang, Eric, Collins, Brian, Attard, Steve and Everingham, Yvette. 2024. "Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.Paper
3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications
Dananjaya, S.A.V., Chevali, V.S., Dear, J.P., Potluri, P. and Abeykoon, C.. 2024. "3D printing of biodegradable polymers and their composites – Current state-of-the-art, properties, applications, and machine learning for potential future applications ." Progress in Materials Science. 146. https://doi.org/10.1016/j.pmatsci.2024.101336Article
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan, Tao, Xiaohui and Xu, Guandong. 2024. "Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics." ACM Transactions on Information Systems. 42 (3), pp. 1-35. https://doi.org/10.1145/3632403Article
Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling
Rabaev, Marsel, Pratama, Handy and Chan, Ka C.. 2024. "Leveraging Synthetic Data and Machine Learning for Shared Facility Scheduling." 17th International Conference on Information Technology and Applications (ICITA 2023). Turin, Italy 20 - 21 Oct 2023 Singapore. Springer. https://doi.org/10.1007/978-981-99-8324-7_34Paper
Epidemic Source Identification Based on Infection Graph Learning
Hong, Xingyun, Yu, Ting, Li, Zhao and Zhang, Ji. 2024. "Epidemic Source Identification Based on Infection Graph Learning." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2303-4_16Paper
MLOps-Enabled Security Strategies for Next-Generation Operational Technologies
Ahmad, Tazeem, Adnan, Mohd, Rafi, Saima, Akbar, Muhammad Azeem and Anwar, Ayesha. 2024. "MLOps-Enabled Security Strategies for Next-Generation Operational Technologies." 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24). Salerno, Italy 18 - 21 Jun 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3661167.3661283Paper
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
Zhang, Jianlin, Hou, Chen, Yang, Xu, Yang, Xuechao, Yang, Wencheng and Cui, Hui. 2024. "Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences." Array. 22. https://doi.org/10.1016/j.array.2024.100347Article
Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio
Zhang, Chi, Wei, Shaoming, Dong, Ge, Zeng, Yajun, Zhu, Guohun, Zhou, Xujuan and Liu, Feng. 2024. "Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio." IEEE Transactions on Instrumentation and Measurement. 73. https://doi.org/10.1109/TIM.2024.3375978Article
ConIS: controllable text-driven image stylization with semantic intensity
Yang, Gaoming, Li, Changgeng and Zhang, Ji. 2024. "ConIS: controllable text-driven image stylization with semantic intensity." Multimedia Systems. 30 (4). https://doi.org/10.1007/s00530-024-01381-1Article
Two-dimensional data partitioning for non-negative matrix tri-factorization
Yan, Jiaxing, Liu, Hai, Lei, Zhiqi, Rao, Yanghui, Liu, Guan, Xie, Haoran, Tao, Xiaohui and Wang, Fu Lee. 2024. "Two-dimensional data partitioning for non-negative matrix tri-factorization." Big Data Research. 37. https://doi.org/10.1016/j.bdr.2024.100473Article
Special issue on link prediction in complex networks
Sheng, Michael, Cai, Taotao and Mahmood, Adnan. 2024. "Special issue on link prediction in complex networks." Computing. 106 (7), pp. 2079-2079. https://doi.org/10.1007/s00607-024-01298-7Editorial
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024Article
Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Sello, Buti, Yong, Jianming and Tao, Xiaohui. 2024. "Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization." Data Science and Engineering. 9, pp. 361-377. https://doi.org/10.1007/s41019-024-00251-0Article
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Schmierer, Thomas, Li, Tianning and Li, Yan. 2024. "Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment." Artificial Intelligence in Medicine. 151. https://doi.org/10.1016/j.artmed.2024.102869Article
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry
Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. "Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry." IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091Article
Chaotic opposition Golden Sinus Algorithm for global optimization problems
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Ranjendra. 2024. "Chaotic opposition Golden Sinus Algorithm for global optimization problems." Chaos, Solitons and Fractals. 183. https://doi.org/10.1016/j.chaos.2024.114869Article
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0Article
Cryptocurrency trading: A systematic mapping study
Nguyen, Duy Thien An and Chan, Ka Ching. 2024. "Cryptocurrency trading: A systematic mapping study." International Journal of Information Management Data Insights. 4 (2). https://doi.org/10.1016/j.jjimei.2024.100240Article