Energy Management of Plug-In Hybrid Electric Vehicles for Autonomous Driving in a Following Environment Based on Fuzzy Adaptive PID Control by Jixin Wang, Yujin Zhou

“…When the improved Cuckoo algorithm iterated to the 51st iteration, the fitness value of the method reached its maximum value and remained stable thereafter, reaching 97.13%. …”
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Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning by Weiyi Gong, Jinshan He, Fan Wang, Xitao Wang

“…In order to rationally design Q500 low-alloy wind power steel with stable microstructure and properties within a large cooling rate range, this study proposed a design system that utilizes thermodynamic database, machine learning (ML), and the multi-objective genetic optimization algorithm (MOGA). …”
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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

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Nonlinear Compound Function-Based Course-Keeping Control for Ships in Rough Seas by Guoshuai Li, Shimiao Wang, Xianku Zhang, Wenjun Zhang, Zhenhuan Zhang

“…To ensure the safe navigation of ships in rough seas while reducing steering gear energy consumption and losses, a steering control system with small rudder output angles, low steering frequency, and high control performance was designed. …”
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Multi-Condition Magnetic Core Loss Prediction and Magnetic Component Performance Optimization Based on Improved Deep Forest by Haotian Shi, Zipeng Jin

“…Finally, an information entropy and game theory-based genetic algorithm is utilized to optimize the operating conditions of magnetic components, yielding an optimal combination of low losses and high magnetic energy transfer efficiency.…”
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Optimizing Photovoltaic Grid‐Connected Power Systems Through Artificial Intelligence and Robust Nonlinear Control by Collins Ngong Sang, Harrison Ambe, Arnaud flanclair Tchouani Njomo, Zeric Tabekoueng Njitacke, Wulfran Fendzi Mbasso, Pradeep Jangir, Aseel Smerat

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An Improved YOLOv8-XGBoost load rapid identification method based on multi-feature fusion by JianYuan Wang, Long Cheng

“…Finally, to resolve the low discriminability issue of similar loads, the recognition results of the Improved YOLOv8 network are fused with selected frequency-domain features using the eXtreme Gradient Boosting (XGBoost) algorithm for training to achieve the final identification results. …”
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Rapid mold optimization based on ultraviolet curing 3D printing technology by Hanyu Rao, Xinyu Bai, Wen Yan, Jie Liu

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Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…After applying the MNN−ILC algorithm, the maximum value of the amplitude is reduced to 3.1 μm, which is a reduction of about 83.4%. …”
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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…Lithium-ion batteries have been widely used in electric vehicles due to their advantages of high specific energy and low-temperature resistance, so this paper takes lithium-ion batteries as the research object. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…RSSI data, temporal and spatial management with simple low-processing methods adopted, achieved a maximum prediction accuracy average of 81.53% across all datasets, while ML algorithms (Random Forest) achieved a maximum prediction accuracy average of 87.24%.…”
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Optimized LDPC Matrices: Reducing and Redistributing 1 bits for Enhanced MAP Detection in Bit-Patterned Media Recording Systems by Thien An Nguyen, Jaejin Lee, Jong-Ho Lee

“…To address these challenges, sophisticated algorithms such as maximum a posteriori (MAP) detection have shown promise in improving data recovery by accounting for the probabilistic nature of signals and noise. …”
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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…It achieves an outstanding maximum  value of 0.987, showcasing a high degree of explanatory power and an impressively low  value of 1.166, signifying minimal prediction errors in comparison to other models. …”
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Design and testing of a RealSense-based variable spraying control system for field kale by Yahui Luo, Wen Li, Pin Jiang, Kaiwen Tang, Zhiluo Liang, Yixin Shi

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UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

“…Additionally, the proposed algorithm proves to have low computational complexity in various scenarios. …”
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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…ObjectiveAiming at the insufficient fatigue life of high-strength leaf chains for forklifts under low-speed heavy-load conditions, a collaborative optimization framework integrating Response Surface Methodology (RSM) and multi-objective genetic algorithm (MOGA) is proposed to enhance reliability and optimize stress distribution.MethodsBased on transient dynamic analysis using ANSYS Workbench, the edge of the chain plate hole was identified as the critical stress concentration region. …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…It attains an outstanding maximum R^2 train value of 0.992 , indicating a high degree of explanatory power and an impressively low RMSE_train value of 0.896, signifying minimal prediction errors in comparison to other frameworks.…”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…Moreover, the proposed framework and algorithm are both effective and feasible, offering a novel approach to low-altitude urban logistics delivery problems.…”
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Design and Experiment of a Greenhouse Autonomous Following Robot Based on LQR–Pure Pursuit by Yibin Hu, Jieyu Xian, Maohua Xiao, Qianzhe Cheng, Tai Chen, Yejun Zhu, Guosheng Geng

“…However, traditional curve tracking algorithms suffer from low tracking accuracy and large tracking errors. …”
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Study of the Characteristics of a Co-Seismic Displacement Field Based on High-Resolution Stereo Imagery: A Case Study of the 2024 MS7.1 Wushi Earthquake, Xinjiang by Chenyu Ma, Zhanyu Wei, Li Qian, Tao Li, Chenglong Li, Xi Xi, Yating Deng, Shuang Geng

“…Subsequently, we applied the Iterative Closest Point (ICP) algorithm to perform differencing analysis on these datasets. …”
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