Multi-Ground Station Collaborative Measurement and Control Technology for Giant Constellation System by Yang LIU, Di ZHOU, Min SHENG, Jiandong LI, Shiguang HAO, Xiaotian ZHENG

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Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

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Theoretical basis for quantitative evaluation of the expansion of the leading hole of a crushed stone bored pile in a nonlinear setting by A. Z. Ter-Martirosyan, Tran Manh Thiem

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Hybrid learning strategies: integrating supervised and reinforcement techniques for railway wheel wear management with limited measurement data by Jessada Sresakoolchai, Chayut Ngamkhanong, Sakdirat Kaewunruen

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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning by Peter Tarabek, David Matis

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Multi-tenant computing network resource allocation algorithm based on deep reinforcement learning by HU Yuxiang, FENG Xu, DONG Yongji, HE Mengyang, ZHUANG Lei, SONG Yanrui

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A Data-Intelligence-Driven Digital Twin Framework for Improving Sustainability in Logistics by Ibrahim Abdullahi, Hadi Larijani, Dimitrios Liarokapis, James Paterson, David Jones, Stewart Murray

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EFFECT OF TWO YEARS NATURAL AGING ON BURST PRESSURE OF OVER-PRESSURE COPPER TUBE (MT) by YANG Fan, LUO Feng, LIU Bing, ZHANG HongWei, FAN YouXiong, LIU XiaoNing

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RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning by Yang Jing, Li Weiya

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HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming by Nguyen Viet Hung, Pham Tien Dat, Nguyen Tan, Nguyen Anh Quan, Le Thi Huyen Trang, Le Mai Nam

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Deep reinforcement learning for time-critical wilderness search and rescue using drones by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

Subjects: “…reinforcement learning…”
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Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling by He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song

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Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach by Ying-Chuan Ni, Victor L. Knoop, Julian F. P. Kooij, Bart van Arem

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Research on named entity recognition method in cybersecurity based on soft prompt tuning and reinforcement learning by TIAN Zeshu, LIU Chunyu, ZHANG Yunting, ZHANG Jiayu, MENG Chao, ZHANG Hongli

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An extended discontinuous deformation analysis for simulation of grouting reinforcement in a water-rich fractured rock tunnel by Jingyao Gao, Siyu Peng, Guangqi Chen, Hongyun Fan

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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

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Ultra-high performance concrete: A review of its material properties and usage in shield tunnel segment by Fangyuan Niu, Yuhang Liu, Fangchen Xue, Hao Sun, Tong Liu, Haijun He, Xuguang Kong, Yunteng Chen, Hongjian Liao

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EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers by S. Nambi, P. Thanapal

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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

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Corrosion Behaviors’ Investigation of Carbide Coatings Developed for Sulphuric Acid Recovery Systems by Erhan Özkan

Subjects: “…cobalt and nickel reinforcements…”
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