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Determining the Impact of Metallic Obstacles on Bluetooth Transmission to Enhance Indoor Location Determination Conference paper
Pancham, Jay, Millham, Richard, Fong, Simon James. Determining the Impact of Metallic Obstacles on Bluetooth Transmission to Enhance Indoor Location Determination[C]:SPRINGER INTERNATIONAL PUBLISHING, 2024, 177-189.
Authors:  Pancham, Jay;  Millham, Richard;  Fong, Simon James
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/09/03
Ble  Bluetooth Low Energy  Metal  Obstruction  Real-time Location System  Rssi  
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  
实时电价机制下基于复合两端采样强化学习的区域供冷系统需求响应运行控制 Journal article
宋永華, 餘佩佩, 張洪財. 实时电价机制下基于复合两端采样强化学习的区域供冷系统需求响应运行控制[J]. 中國科學技術科學 SCIENTIA SINICA Technologica, 2023, 53(10), 1699-1712.
Authors:  宋永華;  餘佩佩;  張洪財
Favorite | TC[Scopus]:0 | Submit date：2023/07/12
Compound Secondary Sampling Experience Reply  Demand Response Control  District Cooling System  Ice Storage  Real-time Price  Reinforcement Learning  
Digital Twin Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach Journal article
Tang Xin, Li Xiaohuan, Yu Rong, Wu Yuan, Ye Jin, Tang Fengzhu. Digital Twin Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach[J]. IEEE Internet of Things Journal, 2023, 10(17), 15362 - 15375.
Authors:  Tang Xin;  Li Xiaohuan;  Yu Rong;  Wu Yuan;  Ye Jin; et al.
Favorite | TC[WOS]:8 TC[Scopus]:17  IF:8.2/9.0 | Submit date：2023/08/03
Deep Reinforcement Learning  Digital Twin  Energy Consumption  Heuristic Algorithms  Internet Of Things  Multi-uav System  Planning  Real-time Systems  Task Analysis  Task Assignment  Training  
Bayesian Real-Time System Identification: From Centralized to Distributed Approach Book
Huang, Ke, Yuen, Ka Veng. Bayesian Real-Time System Identification: From Centralized to Distributed Approach[M]. Singapore:Springer, 2023, 276.
Authors:  Huang, Ke;  Yuen, Ka Veng
Favorite | TC[Scopus]:3 | Submit date：2024/01/10
Bayesian Inference  Centralized Identification  Distributed Identification  Model Class Selection  Parameter Estimation  Real-time System Identification  Structural Health Monitoring  
Real-time and Cost-effective Smart Mat System based on Frequency Channel Selection for Sleep Posture Recognition in IoMT Journal article
Diao, Haikang, Chen, Chen, Liu, Xiangyu, Yuan, Wei, Amara, Amara, Tamura, Toshiyo, Lo, Benny, Fan, Jiahao, Meng, Long, Pun, Sio Hang, Zhang, Yuan Ting, Chen, Wei. Real-time and Cost-effective Smart Mat System based on Frequency Channel Selection for Sleep Posture Recognition in IoMT[J]. IEEE Internet of Things Journal, 2022, 9(21), 21421-21431.
Authors:  Diao, Haikang;  Chen, Chen;  Liu, Xiangyu;  Yuan, Wei;  Amara, Amara; et al.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:8.2/9.0 | Submit date：2022/08/05
Classification Algorithms  Complexity Theory  Data Acquisition  Embedded Systems  Frequency Channel Selection  Iomt  Low-cost  Medical Services  Real-time  Real-time Systems  Sleep Apnea  Sleep Posture Recognition  Smart Mat System  
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems Journal article
Zhao, Juanjuan, Zhang, Liutao, Ye, Jiexia, Xu, Chengzhong. MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8), 13316-13329.
Authors:  Zhao, Juanjuan;  Zhang, Liutao;  Ye, Jiexia;  Xu, Chengzhong
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:7.9/8.3 | Submit date：2022/05/13
Data Models  Deep Learning  Deep Learning  Destination Forecasting  Feature Extraction  Global Positioning System  Individual Mobility.  Its  Predictive Models  Real-time Systems  Trajectory  
Determining the Impact of Perspex Obstacles on Bluetooth Transmission Paths Within a Simulated Office Environment for More Accurate Location Determination Conference paper
Pancham, Jay, Millham, Richard C., Fong, Simon James. Determining the Impact of Perspex Obstacles on Bluetooth Transmission Paths Within a Simulated Office Environment for More Accurate Location Determination[C]. Gervasi O., Murgante B., Misra S., Garau C., Blečić I., Taniar D., Apduhan B.O., Rocha A.M., Tarantino E., Torre C.M., BERLIN, GERMANY:Springer Science and Business Media Deutschland GmbH, 2021, 410-420.
Authors:  Pancham, Jay;  Millham, Richard C.;  Fong, Simon James
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2022/05/13
Ble  Bluetooth Low Energy  Rssi  Real-time Location System  Obstacle  Obstruction  Perspex  
Analysis of Bluetooth Low Energy RSSI Values for Use as a Real Time Link Quality Indicator for Indoor Location Conference paper
Pancham, Jay, Millham, Richard, Fong, Simon James. Analysis of Bluetooth Low Energy RSSI Values for Use as a Real Time Link Quality Indicator for Indoor Location[C], 2020, 980-991.
Authors:  Pancham, Jay;  Millham, Richard;  Fong, Simon James
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/04/19
Bluetooth Low Energy Networks  Indoor Positioning  Link Quality Indicator  Mean  Mode  Moving Average  Real Time Location System  Rfid  Rtls  
Comparison Between PSCAD and RTDS Hardware In-the-Loop Simulations System in Power Quality Conference paper
Ying Pang, Zeng Xiang, Man-Chung Wong. Comparison Between PSCAD and RTDS Hardware In-the-Loop Simulations System in Power Quality[C]:IEEE, 2019.
Authors:  Ying Pang;  Zeng Xiang;  Man-Chung Wong
Favorite | TC[Scopus]:2 | Submit date：2021/03/09
Hardware In-the-loop (Hil) System  Power Compensator  Power Systems Computer Aided Design (Pscad)  Real Time Digital Power System Simulator (Rtds)