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A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao Journal article
Xu, Lishu, Gao, Liang. A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao[J]. Journal of Hydrology, 2024, 642, 131863.
Authors:  Xu, Lishu;  Gao, Liang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.4 | Submit date：2024/09/03
Coastal Urban Flooding  Compound Flood Events  Flood Inundation Modelling  Hybrid Surrogate Modelling  Machine Learning  Real-time Flood Forecasting  Urban Drainage  
Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter Conference paper
Gong, Cheng, Leong, Chio Hong, Lam, Chi Seng. Deterministic Policy Gradient based Reinforcement Learning for Current Control of Hybrid Active Power Filter[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Gong, Cheng;  Leong, Chio Hong;  Lam, Chi Seng
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Deterministic Policy Gradient  Hybrid Active Power Filter  Power Quality  Reinforcement Learning  
Enhancing the Online Learning Experience of Performing Arts Students in the Post-Pandemic Era: A Large-Scale Empirical Study in Hong Kong Journal article
Li, Qingyun, Tian, Zhen, Li, Zihao, Han, Jie, Zhang, Zhongyang, Zhang, Yanjun. Enhancing the Online Learning Experience of Performing Arts Students in the Post-Pandemic Era: A Large-Scale Empirical Study in Hong Kong[J]. SAGE Open, 2024, 14(2), 21582440241243185.
Authors:  Li, Qingyun;  Tian, Zhen;  Li, Zihao;  Han, Jie;  Zhang, Zhongyang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.0/2.3 | Submit date：2024/07/04
Covid-19 Pandemic  Hybrid Learning  Learning Experiences  Performing Arts Education  Post-pandemic Era  
A Systematic Review of the Design of Serious Games for Innovative Learning: Augmented Reality, Virtual Reality, or Mixed Reality? Review article
2024
Authors:  Lee, Lap Kei;  Wei, Xiaodong;  Chui, Kwok Tai;  Cheung, Simon K.S.;  Wang, Fu Lee; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:2.6/2.6 | Submit date：2024/05/16
Augmented Reality  Blended Learning  E-learning  Hybrid Learning  Immersive Learning  Innovative Learning  Mixed Reality  Serious Games  Smart Education  Virtual Reality  
A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model Journal article
Yuan, Ke, Huang, Yabing, Du, Zhanfei, Li, Jiabao, Jia, Chunfu. A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model[J]. Complex & Intelligent Systems, 2024, 10(1), 1131-1147.
Authors:  Yuan, Ke;  Huang, Yabing;  Du, Zhanfei;  Li, Jiabao;  Jia, Chunfu
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:5.0/5.2 | Submit date：2024/02/22
Cluster Division Identification  Cryptanalysis  Cryptographic Algorithm Identification  Ensemble Learning  Hybrid RAndom Forest And Logistic Regression  Single-layer Identification  
A novel and efficient method for real-time simulating spatial and temporal evolution of coastal urban pluvial flood without drainage network Journal article
Qin, Jintao, Gao, Liang, Lin, Kairong, Shen, Ping. A novel and efficient method for real-time simulating spatial and temporal evolution of coastal urban pluvial flood without drainage network[J]. Environmental Modelling and Software, 2024, 172, 105888.
Authors:  Qin, Jintao;  Gao, Liang;  Lin, Kairong;  Shen, Ping
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:4.8/5.2 | Submit date：2024/02/22
Drainage Data Missing  Equivalent Drainage Hydrodynamic Model  Flood Real-time Simulation  Hybrid Method  Immediate Calibration  Machine Learning  
A Model-free Combined Energy and Thermal Management Strategy for HEVs Based on Reinforcement-Learning Under Low-Temperature Journal article
Li, Kai, Chen, Hong, Wu, Yuhu, Zhao, Jing, Ding, Shihong, Gao, Jinwu. A Model-free Combined Energy and Thermal Management Strategy for HEVs Based on Reinforcement-Learning Under Low-Temperature[J]. IEEE Transactions on Intelligent Vehicles, 2024.
Authors:  Li, Kai;  Chen, Hong;  Wu, Yuhu;  Zhao, Jing;  Ding, Shihong; et al.
Favorite | TC[Scopus]:0  IF:14.0/11.2 | Submit date：2024/07/04
Batteries  Combined Energy And Thermal Management (C-etm)  Couplings  Deep Reinforcement Learning  Energy Management  Heat Engines  Hybrid Electric Vehicles (Hevs)  Low Temperature Environment  Model-free  Optimization  Thermal Management  Waste Heat  
A Novel Energy Management Strategy for PHEV Considering Cabin Heat Demand Under Low Temperature Based on Reinforcement Learning Journal article
Li, Kai, Chen, Hong, Hou, Shengyan, Eriksson, Lars, Zhao, Jing, Ding, Shihong, Gao, Jinwu. A Novel Energy Management Strategy for PHEV Considering Cabin Heat Demand Under Low Temperature Based on Reinforcement Learning[J]. IEEE Transactions on Transportation Electrification, 2024.
Authors:  Li, Kai;  Chen, Hong;  Hou, Shengyan;  Eriksson, Lars;  Zhao, Jing; et al.
Favorite | TC[Scopus]:0  IF:7.2/7.9 | Submit date：2024/09/03
Batteries  Cabin Heat Demand  Deep Reinforcement Learning  Energy Management  Energy Management System  Fuel Economy  Heat Engines  Heat Pumps  Hybrid Electric Vehicles (Hevs)  Low Temperature Environment  Real-time  Resistance Heating  Waste Heat  
Predicting aqueous sorption of organic pollutants on microplastics with machine learning Journal article
Qiu, Ye, Li, Zhejun, Zhang, Tong, Zhang, Ping. Predicting aqueous sorption of organic pollutants on microplastics with machine learning[J]. Water Research, 2023, 244, 120503.
Authors:  Qiu, Ye;  Li, Zhejun;  Zhang, Tong;  Zhang, Ping
Favorite | TC[WOS]:11 TC[Scopus]:14  IF:11.4/12.2 | Submit date：2023/11/01
Hybrid Model  Machine Learning  Microplastics  Organic  Pplfer  Sorption  
Twin delayed deep deterministic policy gradient based energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles considering predicted terrain information Journal article
Tao, Fazhan, Fu, Zhigao, Gong, Huixian, Ji, Baofeng, Zhou, Yao. Twin delayed deep deterministic policy gradient based energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles considering predicted terrain information[J]. Energy, 2023, 283, 129173.
Authors:  Tao, Fazhan;  Fu, Zhigao;  Gong, Huixian;  Ji, Baofeng;  Zhou, Yao
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:9.0/8.2 | Submit date：2023/12/04
Action Screening Mechanism  Deep Reinforcement Learning  Energy Management Strategy  Fuel Cell Hybrid Electric Vehicle  Predicted Terrain Information