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Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study Journal article
Mishra, Vishala, Sarraju, Ashish, Kalwani, Neil M., Dexter, Joseph P.. Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study[J]. Journal of Medical Internet Research, 2024, 26(1), e55388.
Authors:  Mishra, Vishala;  Sarraju, Ashish;  Kalwani, Neil M.;  Dexter, Joseph P.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:5.8/6.7 | Submit date：2024/05/16
Artificial Intelligence  Cardiology  Cardiovascular  Chatgpt  Digital Health  Education  Educational  Generative  Gpt  Health Communication  Health Communication  Health Literacy  Heart  Human-in-the-loop  Language Model  Language Models  Large Language Model  Machine Learning  Natural Language Processing  Nlp  Patient-physician Communication  Prevention  Prompt Engineering  
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets Journal article
Liu, Liu, Ding, Zhijun, Cheng, Dazhao, Zhou, Xiaobo. Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 370-387.
Authors:  Liu, Liu;  Ding, Zhijun;  Cheng, Dazhao;  Zhou, Xiaobo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date：2024/05/16
Adaptation Models  Byzantine Gradient  Computational Modeling  Data Models  Distributed Databases  Distributed Dataset  Graphics Processing Units  Load Management  Machine Learning Training  Straggler  Training  
Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China After the Post-pandemic Era Conference paper
Guo, Mengyao, Zhang, Xiaolin, Zhuang, Yuan, Chen, Jing, Wang, Pengfei, Gao, Ze. Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China After the Post-pandemic Era[C]:Springer Science and Business Media Deutschland GmbH, 2024, 313-331.
Authors:  Guo, Mengyao;  Zhang, Xiaolin;  Zhuang, Yuan;  Chen, Jing;  Wang, Pengfei; et al.
Favorite | TC[Scopus]:3 | Submit date：2024/05/16
Complex Aesthetics  Cultural Creativity  Generative Ai  Machine Learning Models  Post-pandemic Era  Subjective Aesthetic Data  
Assessing the algal population dynamics using multiple machine learning approaches: Application to Macao reservoirs Journal article
Li, Zhejun, Chio, Sin Neng, Gao, Liang, Zhang, Ping. Assessing the algal population dynamics using multiple machine learning approaches: Application to Macao reservoirs[J]. Journal of Environmental Management, 2023, 334, 117505.
Authors:  Li, Zhejun;  Chio, Sin Neng;  Gao, Liang;  Zhang, Ping
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:8.0/7.9 | Submit date：2023/02/28
Algae  Computational Models  Macao  Machine Learning  Population Dynamics  Reservoir  
Editorial: Spatial modelling and failure analysis of natural and engineering disasters through data-based methods Other
2022-08-26
Authors:  Liu, Jinquan;  Yang, Tao;  Yong, Zhou;  Wang, Song;  Huang, Gui; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2023/01/30
Advanced Numerical Method  Data-based Models  Engineering Disasters  Machine Learning  Unfavorable Geology  
Prediction of Outcomes in Mini-Basketball Training Program for Preschool Children with Autism Using Machine Learning Models Journal article
Sun, Zhiyuan, Herold, Fabian, Cai, Kelong, Yu, Qian, Dong, Xiaoxiao, Liu, Zhimei, Li, Jinming, Chen, Aiguo, Zou, Liye. Prediction of Outcomes in Mini-Basketball Training Program for Preschool Children with Autism Using Machine Learning Models[J]. International Journal of Mental Health Promotion, 2022, 24(2), 143-158.
Authors:  Sun, Zhiyuan;  Herold, Fabian;  Cai, Kelong;  Yu, Qian;  Dong, Xiaoxiao; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:1.0/1.0 | Submit date：2022/05/17
Autistic Children  Machine Learning Models  Mini-basketball Training Program  Outcomes  Prediction  
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings Journal article
Ahmad, Tanveer, Zhang, Hongcai, Yan, Biao. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings[J]. Sustainable Cities and Society, 2020, 55, 102052.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai;  Yan, Biao
Favorite | TC[WOS]:260 TC[Scopus]:319  IF:10.5/10.0 | Submit date：2021/09/09
Renewable Energy Sources  Forecasting Models  Energy Planning  Machine Learning Models  Ensemble Models  Artificial Neural Networks  
A review on machine learning forecasting growth trends and their real-time applications in different energy systems Review article
2020
Authors:  Ahmad, Tanveer;  Chen, Huanxin
Favorite | TC[WOS]:95 TC[Scopus]:122  IF:10.5/10.0 | Submit date：2021/12/06
Forecasting  Load Demand Prediction  Machine Learning  Real-time Applications  Renewable Energy Forecasting  Supervised Models  
A common topic transfer learning model for crossing city POI recommendations Journal article
Dichao Li, Zhiguo Gong, Defu Zhang. A common topic transfer learning model for crossing city POI recommendations[J]. IEEE Transactions on Cybernetics, 2019, 49(12), 4282-4295.
Authors:  Dichao Li;  Zhiguo Gong;  Defu Zhang
Favorite | TC[WOS]:23 TC[Scopus]:24  IF:9.4/10.3 | Submit date：2021/03/09
Graphical Models  Machine Learning  Recommender Systems  Transfer Learning