Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

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Quantum-Inspired Real-Time Optimization for 6G Networks: Opportunities, Challenges, and the Road Ahead by Trung Q. Duong, Long D. Nguyen, Bhaskara Narottama, James Adu Ansere, Dang Van Huynh, Hyundong Shin

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Intelligent hydraulic fracturing under industry 4.0—a survey and future directions by Jing Jia, Qinghu Fan, Jianglu Jing, Kehui Lei, Lichang Wang

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Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems by Bryan S. Guevara, Jose Varela-Aldas, Viviana Moya, Manuel Cardona, Daniel C. Gandolfo, Juan M. Toibero

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Enhancing Bidirectional Modbus TCP ↔ RTU Gateway Performance: A UDP Mechanism and Markov Chain Approach by Shuang Zhao, Qinghai Zhang, Qingjian Zhao, Xiaoqian Zhang, Yang Guo, Shilei Lu, Liqiang Song, Zhengxu Zhao

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Optional and mandatory assignment strategies for dynamic vehicle routing with time windows by Mustafa Demirbilek

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Real-Time Electric Taxi Guidance for Battery Swapping Stations Under Dynamic Demand by Yu Feng, Xiaochun Lu, Xiaohui Huang, Jie Ma

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Revolutionizing Open-Pit Mining Fleet Management: Integrating Computer Vision and Multi-Objective Optimization for Real-Time Truck Dispatching by Kürşat Hasözdemir, Mert Meral, Muhammet Mustafa Kahraman

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Deep reinforcement learning approach for real-time airport gate assignment by Haonan Li, Xu Wu, Marta Ribeiro, Bruno Santos, Pan Zheng

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Real-Time Optimization Improved Model Predictive Control Trajectory Tracking for a Surface and Underwater Joint Observation System Based on Genetic Algorithm–Fuzzy Control by Qichao Wu, Yunli Nie, Shengli Wang, Shihao Zhang, Tianze Wang, Yizhe Huang

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Real-Time Multi-Agent Based Power Management of Virtually Integrated Microgrids Comprising Prosumers of Plug-in Electric Vehicles and Renewable Energy Sources by Nikolaos K. Sifakis, Fotis D. Kanellos

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Genetic Algorithm Approach to a Concurrent Real-Time Optimization Problem in the Embedded System Design Process by Górski Adam M., Ogorzałek Maciej

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Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms by G.Veera Sankara Reddy, S. Vijayaraj

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Refining ℌ_∞ Controller Performance With Extremum Seeking Control for Improved Disturbance Attenuation by Bilal Erol

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Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms by Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

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Knowledge graph-based intelligent control systems for real-time machine tool optimization by Hailong YANG, Jun YAO, Baorui DU

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Optimizing EV Charging in Real-Time With a Distributed Game-Theoretic Framework by Aifang Yan, Xiaopeng Chen

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Model-Data Hybrid-Driven Real-Time Optimal Power Flow: A Physics-Informed Reinforcement Learning Approach by Ximing Zhang, Xiyuan Ma, Yun Yu, Duotong Yang, Zhida Lin, Changcheng Zhou, Huan Xu, Zhuohuan Li

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