An Overview About Second-Life Battery Utilization for Energy Storage: Key Challenges and Solutions by Hua Song, Huaizhi Chen, Yanbo Wang, Xiang-E Sun

“…Then, the compatibility issue of second-life batteries is investigated to determine whether electrical dynamic characteristics of a second-life battery can meet the performance requirements for energy storage. …”
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Horizontal Control System for Maglev Ruler Based on Improved Active Disturbance Rejection Controller by Gengyun Tian, Chunlin Tian, Jiyuan Sun, Shusen Diao

“…Initially, a mathematical model is meticulously established based on the principles of magnetic circuits and dynamics. By analyzing the relationship between the Ampere force and the coil current, and constructing the dynamic equations, it is clearly demonstrated that this system belongs to a nonlinear and strongly coupled type with two inputs and two outputs. …”
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A New Approach to Assess the Influence of Road Roughness on Driver Speed Behavior Based on Driving Simulator Tests by Mariano Pernetti, Mauro D’Apuzzo, Francesco Galante

“…Vehicle speed is one of main parameters describing driver behavior and it is of paramount importance as it affects the travel safety level. …”
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Estimation of Discharge Energy of Lithium-ion Battery for Different Temperatures by FOX-Bidirectional Recurrent Neural Network Method by Göksu Taş

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Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont by Fabrizio Angaroni, Alberto Peruzzi, Edgar Z. Alvarenga, Fernanda Pinheiro

“…However, translating rapidly growing microbial growth datasets into actionable insights remains challenging. To address this issue, we introduce Kinbiont—an open-source tool that integrates dynamic models with machine learning methods for data-driven discovery in microbiology. …”
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Application of Lightweight Target Detection Algorithm Based on YOLOv8 for Police Intelligent Moving Targets by Yanjie Zhang, Xiaojun Liu, Yuehan Shi, Zecong Ding, Xiaoming Zhang

“…Finally, BiFormer uses dynamic sparse attention for more flexible computational allocation and content perception. …”
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A comprehensive comparison of hydro-elastoplastic-damage and cap-elastoplastic-damage material models for concrete subjected to impact and blast loadings by Shufeng Shi, Xiangzhen Kong, Junyu Fan, Yong Peng, Qin Fang

“…It is found that both the two kind models could be used to simulate the dynamic responses of concrete under projectile impact and blast loadings, if the parameter needed in material models are well calibrated, although some discrepancies between them may exist.…”
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Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…The primary issue addressed is the inefficiency of traditional MPC in adapting to dynamic grid conditions. …”
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Optimal Dual Control Strategy for Multi-Interconnected Microgrids Under Unintentional Islanding and Fault Scenarios by H. K. Shaker, Ines Mahmoud, Magdi A. Mosa, K. M. Abdel-Latif, A. A. Ali, H. E. Keshta

“…This paper investigates the dynamic performance of three interconnected MGs and presents a dual control strategy to improve the dynamic performance during both the grid-connected mode and unintentional islanding occurrence. …”
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Prediction of Air-Conditioning Outlet Temperature in Data Centers Based on Graph Neural Networks by Qilong Sha, Jing Yang, Ruping Shao, Yu Wang

“…This study addresses the issue of excessive cooling in data center server rooms caused by the sparse deployment of server cabinets. …”
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Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
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Dual adaptive robust control for uncertain nonlinear active suspension systems actuated by asymmetric electrohydraulic actuators by Dingxuan Zhao, Miaomiao Du, Tao Ni, Mingde Gong, Lizhe Ma

“…However, whether active suspension or electrohydraulic actuator suffers from nonlinearities (e.g. nonlinear spring, nonlinear damper and nonlinear actuator dynamics) and parameters uncertainties (e.g. the variations of sprung mass and hydraulic fluid’s bulk modulus as well as hydraulic cylinder original control volumes) , which were rarely synthetically considered in the existing researches.To address these issues, we develop a novel dual adaptive robust controller (ARC). …”
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Prescribed-Time Formation Tracking Control for Underactuated USVs with Prescribed Performance by Bowen Sui, Jianqiang Zhang, Zhong Liu

“…Additionally, a unique performance function was developed, enabling the performance function to converge to a predetermined accuracy within a specified time, while allowing for flexible adjustment of the performance constraint shape by parameter modification. Furthermore, a prescribed-time formation control algorithm was developed by combining graph theory and dynamic surface control, enabling the formation error to converge within preset performance constraints at a specified period of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">T</mi><mo>=</mo><mn>10</mn><mo> </mo><mi mathvariant="normal">s</mi></mrow></semantics></math></inline-formula>. …”
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A Study on the Effect of Waiting Time of Ships at Anchor on Efficiency Measurement in Ports by Saip Onurhan Kadıoğlu, Murat Yorulmaz, Soner Esmer

“…The fact that ports are complex and dynamic service businesses causes efficiency measurements to be multivariate. …”
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Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…Abstract This paper proposes the YOLOv8n_H method to address issues regarding parameter redundancy, slow inference speed, and suboptimal detection precision in contemporary helmet-wearing target recognition algorithms. …”
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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Experimental results demonstrate that the MobileViT-CoordAtt model, trained with transfer learning, achieves an accuracy of 97.18% on the test set, with a compact parameter size of 4.09 MB. These findings indicate that the proposed method can effectively evaluate fish feeding intensity in practical aquaculture environments, providing critical support for formulating dynamic feeding strategies.…”
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The stochastic evolution game of knowledge-sharing incentive in virtual communities under intelligent recommendation systems by Ya-feng Xiong, Wen-sheng Jia

“…We obtained the evolutionary equilibrium strategies under different parameter restrictions and analyzed the evolutionary stability of the dynamic game process of knowledge sharing incentives. …”
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Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization by Guoqing Geng, Peining Wang, Liqin Sun, Han Wen

“…Identifying such anomalies currently relies on post-trajectory analysis with subjective parameter thresholds. To address this issue, we propose an unsupervised real-time localization anomaly detection model based on the isolation forest algorithm. …”
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Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system. by Wanjun Zhang, Jingsheng Tong, Feng Zhang, Wanliang Zhang, Jingxuan Zhang, Jingyi Zhang, Jingyan Zhang, Honghong Sun, Derek O Northwood, Kristian E Waters, Hao Ma

“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. Its parameter self-adaptation capability effectively balances dynamic response and steady-state performance, resolving issues such as overshoot oscillation and lagging regulation in nonlinear dynamics. …”
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Nonlinearity modeling for online estimation of industrial cooling fan speed subject to model uncertainties and state-dependent measurement noise by Peng Chao-Chung, Tsai Min-Che, Chen Tsai-Ying

“…To address these issues, this study employs the unscented Kalman filter (UKF) algorithm, incorporating state-dependent noise modeling and mathematical modeling of parameter uncertainties. …”
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