Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties by Hong Zhang, Qianwei Xi, Lei Chen, Yong Min, Xiongxiong Fan, Wenjin Fang, Nan Tian, Fei Xu

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Artificial Intelligence and Internet of Things-Based Leak Detection Method for the Water Supply Network by Lianxiu Li, Huifan Chen

“…The data organization, storage, release and control are realized by using the data center software platform. …”
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Shape Adjustment of a Large Planar Phased Array Antenna With Nonlinear Cable Actuators by Jiyang Zhou, Xiang Liu, Guoping Cai, Jun Sun, Dongfang Zhu

“…Further, an optimization model is established for shape adjustment, and the genetic algorithm is used to solve this problem. …”
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A critical evaluation of Pure Pursuit, MPC and MPCC: Balancing simplicity, performance and constraints by Kong Xiangyiming, Fisher Callen, Evans Benjamin

“…These control algorithms include Pure Pursuit (PP), Model Predictive Control (MPC) and Model Predictive Contouring Control (MPCC). …”
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Assessment of hydrogen vehicle fuel economy using MRAC based on deep learning by Jaesu Han, Sun Yi, Sangseok Yu

“…This study investigates the performance of three control strategies—PI control, Model Reference Adaptive Control, and Deep Learning-based MRAC—when applied to the motor of a hydrogen vehicle. …”
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Internet of things in healthcare monitoring to enhance acquisition performance of respiratory disorder sensors by Leonardo Juan Ramírez López, Arturo Rodriguez Garcia, Gabriel Puerta Aponte

“…Internet of things might mean better technology regarding response time and proper control of medical parameters. This study introduces an Internet-of-things system for healthcare with possibilities to control medical variables according to recent breakthroughs in sensors and data processing. …”
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Adaptive dynamic ϵ-simulated annealing algorithm for tumor immunotherapy by Xiaoyan Sun, Xiaoyan Sun, Ying Jiang

“…This study aims to develop an intelligent optimization approach capable of handling these complexities within a mathematical tumor treatment model.MethodsWe propose an Adaptive Dynamic ϵ-Simulated Annealing (ADϵSA) algorithm that integrates a multi-population search framework, dynamic ϵ-constraint control, and boundary-aware mutation mechanisms. …”
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Nitrogen cycling and functional gene diversity of drinking reservoir area in agricultural districts: Implications for nitrogen transformation processes by Mengze Li, Wenwen Wang, Shengwu Yuan, Kun Wang, Shuhang Wang, Wei Li, Xia Jiang, Wenqiang Zhang, Baoqing Shan

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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

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Comprehensive Evaluation Method for Importance of Epidemic Prevention in Chinese Cities Considering Population Mobility Network by Bing Li, Jie Zhang, Ziye Xiang

“…These cities require key management during the outbreak of infectious diseases. The evaluation model can scientifically assess the epidemic prevention significance of cities, improve the efficiency of public health emergency management, and provide quantitative support for formulating urban epidemic control strategies, promoting resource optimization allocation, and implementing targeted measures.…”
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Research on Intelligent Classification of Ultrasonic Phased Array Image of Welding Seam of Naval Gun Cradle by Wenjing Liu, Erqing Zhang, Jianguo Wang, Shaofeng Wang, Shunzhou Huang

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Cloud-edge Collaborative Data Processing Method for Intelligent Operation and Maintenance of Power Grid Production Equipment by LI Yadan, CHEN Xiaofeng, HUANG Xiaoming, ZHANG Sunxuan

“…Secondly, a cloud-edge collaborative data processing model is constructed to optimize the weighted sum of cloud-edge collaborative data processing delay and device data queue backlog. …”
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pSum-SaDE: A Modified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization by Rasim M. Alguliev, Ramiz M. Aliguliyev, Chingiz A. Mehdiyev

“…Differential evolution has been proven to be an efficient and robust algorithm for many real optimization problems. However, it still may converge toward local optimum solutions, need to manually adjust the parameters, and finding the best values for the control parameters is a consuming task. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…Secondly, a new attention mechanism, Spatial Triple Attention (STA), is developed, which first reconstructs the spatial dimensions of the input feature maps, then inputs the reconstructed three types of features into each of the three branches and carries out targeted processing according to the importance of the features, thereby improving the model performance. In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…Finally, the global model parameters are fed back to the vehicles to further optimize the local resource allocation strategy, thus improving the system spectrum efficiency. …”
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A Comprehensive Overview of the Development and Research of Energy Savings of Electric Wheel Loader by Xiaotao Fei, Zuo Cheng, Shaw Voon Wong, Muhammad Amin Azman, Dawei Wang, Xiuxian Zhang, Qiuchen Shao, Qingqiu Lin

“…The analysis reveals that integrating optimal control strategies with machine learning algorithms—such as model predictive control (MPC)—is a critical pathway to achieving energy-efficient and assisted driving in next-generation EWLs. …”
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Towards efficient IoT communication for smart agriculture: A deep learning framework. by Ghada Alturif, Wafaa Saleh, Alaa A El-Bary, Radwa Ahmed Osman

“…The proposed model intends to maximize energy efficiency and data throughput in the context of essential agricultural factors by using Lagrange optimization and a Deep Convolutional Neural Network (DCNN). …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Second, with communication information embedding and communication reachable rate as constraints, a joint optimization model for FDA-MIMO radar communication integrated transmission and reception beams for RF stealth is established. …”
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Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory by Lu Zhao, Jiangjun Liu, Yuan Li

“…With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm. …”
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Tuning Genetic Algorithm Parameters to Improve Convergence Time by Maria Angelova, Tania Pencheva

“…As dynamic systems their modeling and further high-quality control are a serious challenge. …”
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