English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 15 Help

Selected(0)Clear Items/Page:    Sort:
Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network Journal article
Shen, Pengfei, Shao, Yulin, Cao, Qi, Lu, Lu. Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(4), 1371 - 1385.
Authors:  Shen, Pengfei;  Shao, Yulin;  Cao, Qi;  Lu, Lu
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.4/6.9 | Submit date：2024/05/16
Base Station Sleep Control  Ng-ran  Markov Decision Process  Greedy Policy  Index Policy  
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:  Ou, Zhongxi;  Zhang, Liang;  Zhao, Xiaoyan;  Lan, Wei;  Liu, Dundun; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Advantage Actor-critic  Deep Reinforcement Learning  Distribution Network Expansion  Markov Decision Process  
Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks Conference paper
Chen, Yunfeng, Liu, Yong, Xiao, Jinhao, Wu, Qunying, Zhang, Han, Hou, Fen. Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks[C]:IEEE, 2024.
Authors:  Chen, Yunfeng;  Liu, Yong;  Xiao, Jinhao;  Wu, Qunying;  Zhang, Han; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Age Of Information  Markov Decision Process  Non-orthogonal Multiple Access  Wireless-powered Iot Network  
BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024.
Authors:  He, Fuchao;  Shi, Zheng;  Zhou, Binggui;  Yang, Guanghua;  Li, Xiaofan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/09/03
Block Error Rate  Decoding  Deep Reinforcement Learning  Fading Channels  Harq-ir  Internet Of Things  Markov Decision Process  Reliability Theory  Resource Management  Short Packet Communications  Signal To Noise Ratio  Throughput  
A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources Journal article
YuxinMa, Zechun Hu, Yonghua Song. A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources[J]. IEEE Transactions on Power Systems, 2023, 39(1), 2239-2250.
Authors:  YuxinMa;  Zechun Hu;  Yonghua Song
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.5/7.4 | Submit date：2023/08/03
Delays  Energy Storage Systems  Frequency Control  Generators  Load Frequency Control  Mathematical Models  Partially Observable Markov Decision Process  Power System Stability  Proximal Policy Optimization  Regulation  Renewable Energy Resources  Renewable Energy Sources  
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations Journal article
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu. A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2), 2049-2061.
Authors:  Mingsheng Fu;  Liwei Huang;  Ananya Rao;  Athirai A. Irissappane;  Jie Zhang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:11.7/11.4 | Submit date：2023/02/22
Deep Reinforcement Learning (Drl)  Multitask Markov Decision Process (Mdp)  Recommender System  
Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles Journal article
Liang, Hongbin, Zhang, Xiaohui, Hong, Xintao, Zhang, Zongyuan, Li, Mushu, Hu, Guangdi, Hou, Fen. Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7), 4957-4967.
Authors:  Liang, Hongbin;  Zhang, Xiaohui;  Hong, Xintao;  Zhang, Zongyuan;  Li, Mushu; et al.
Favorite | TC[WOS]:29 TC[Scopus]:37  IF:11.7/11.4 | Submit date：2021/12/08
Hierarchical Architecture  Internet Of Vehicles (Iov)  Reinforcement Learning  Resource Allocation  Semi-markov Decision Process (Smdp)  
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives Journal article
Ng,Kam K.H., Chen,Chun Hsien, Lee,C. K.M., Jiao,Jianxin (Roger), Yang,Zhi Xin. A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives[J]. ADVANCED ENGINEERING INFORMATICS, 2021, 47, 101246.
Authors:  Ng,Kam K.H.;  Chen,Chun Hsien;  Lee,C. K.M.;  Jiao,Jianxin (Roger);  Yang,Zhi Xin
Favorite | TC[WOS]:86 TC[Scopus]:124  IF:8.0/8.2 | Submit date：2021/03/11
Adaptive Decision Making  Artificial Intelligence  Innovative Robotic Process Automation  Intelligent Automation  
Ranking of Choice Cues for Smartphones Using the Best-Worst Scaling Method Journal article
Luis Pinto, Erdener Kaynak, Clement S.F. Chow, Lida L. Zhang. Ranking of Choice Cues for Smartphones Using the Best-Worst Scaling Method[J]. Asia Pacific Journal of Marketing and Logistics, 2019, 31(1), 223-245.
Authors:  Luis Pinto;  Erdener Kaynak;  Clement S.F. Chow;  Lida L. Zhang
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:3.9/4.6 | Submit date：2019/09/17
Smartphone  Chinese Context  Best-worst Scaling Method  Buying Decision Process  Product Attributes  Ranking Of Importance  
Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria Journal article
YONGHUI HUANG, ZHAOTONG LIAN, XIANPING GUO. Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria[J]. Advances in Applied Probability, 2018, 50(3), 783-804.
Authors:  YONGHUI HUANG;  ZHAOTONG LIAN;  XIANPING GUO
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:0.9/1.1 | Submit date：2019/08/01
Expected Utility  Finite-horizon Cost  Linear Program  Occupation Measure  Semi-markov Decision Process