Low-Frequency Performance Analysis of Semi-Active Cab’s Hydraulic Mounts of an Off-Road Vibratory Roller by Vanliem Nguyen, Jianrun Zhang, Xiuzhi Yang

“…This study proposes an optimal fuzzy-PID control method for semi-active cab’s hydraulic mounts based on an off-road vehicle roller dynamic model to analyze the low-frequency performance of semi-active cab’s hydraulic mounts under the different operating conditions. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Advancements and Challenges in Molten Salt Energy Storage for Solar Thermal Power Generation by Shi Yuxin

“…These include the creation of new MS materials, system design optimization, and cost reduction strategies. Technology utilizing MS energy storage is a promising component of energy systems of the future, as it contributes significantly to the advancement of renewable energy sources and increases energy efficiency.…”
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Analysis in organs at risk for gynecological radiotherapy by High Dose Rate Brachytherapy using Manchester point A, ICRU 38 Report and American Braquitherapy Society recomendation by Gustavo Piriz, Yolma Banguero, Alejandro De Rosa, Carlos Vega, Aldo Quarneti

“…This work analyze 120 single applications with orthogonal images using the treatment planning system (TPS) HDRplus version 3.0.4 through “Auto dwell time determination” optimization method, using the recommendation for optimization dose from the ABS and vaginal point from ICRU 89 . …”
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Impedance-based sensitivity analysis for enhanced dynamic stability in DC off-grid hydrogen production systems by Chenguang Zhang, Zhongjian Kang, Bin Li, Hongyang Zhang, Di Zhu

“…Experimental validation across multiple operational scenarios confirmed stable operating regions of converter impedance parameters, demonstrating method effectiveness. This research provides systematic solutions for stability enhancement and parameter optimization in off-grid hydrogen systems.…”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Additionally, lightweight experiments were conducted from two perspectives: model structure optimization and data feature selection. The results demonstrated the potential advantages of this method for practical applications in motor imagery recognition systems.…”
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Fractal Analysis of Air Pollution Time Series in Urban Areas in Astana, Republic of Kazakhstan by Andrii Biloshchytskyi, Alexandr Neftissov, Oleksandr Kuchanskyi, Yurii Andrashko, Svitlana Biloshchytska, Aidos Mukhatayev, Ilyas Kazambayev

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Progress towards the Sustainable Development Goal 14 (Life below water) in the context of Brazil: A multicriteria approach by Vinicius Moretti, Natália Ramos Corraini, Everton Luiz Melo, Marinez Eymael Garcia Scherer, João Carlos Colmenero

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A neural dynamics model prediction-based adaptive control system for AUV formation control by Jiwen ZHANG, Bo XU, Chuyan WANG, Zhaoyang WANG

“…Active and inhibitory sources are created to solve the local optimization problem of potential field methods. …”
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Energy Storage Impact on CO₂ Emissions Reduction in an Islanded Microgrid by Nicola Panzavecchia, Giuseppe Caravello, Antonio Cataliotti, Valentina Cosentino, Giovanni Tine, Dario Di Cara

“…The proposed method utilizes an optimization algorithm within a day-based scheduling strategy. …”
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Identification and control of booming noise of thin-walled metal plates of commercial vehicle body subjected to high-speed airflow. by Yuanshao Wang, Bao Zhang, Xiaoping Su, Liguo Zang

“…Based on experimental, finite element, dynamic and fluid techniques, a method for identification, analysis and optimization of TWMP booming noise under high-speed airflow is proposed in this paper. …”
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Advancements in end treatment techniques and applications of acid mine drainage in coal mines: A research review by Qiaohui CHE, Song DU, Degao ZHANG, Yinglin FAN, Xiao ZHANG, Fengli WANG

“…According to the actual application cases, the treatment ideas and optimization methods of domestic AMD end treatment methods are summarized. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies by Gang Chen, Taorui Zeng, Dongsheng Liu, Hao Chen, Linfeng Wang, Liping Wang, Kaiqiang Zhang, Thomas Glade

“…A landslide susceptibility index system is developed using multi-source data, with susceptibility prediction conducted via the XGBoost model optimized by Bayesian methods. …”
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Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system by Li Xin, Li Yuesong

“…A sensor fusion algorithm combined with global optimization algorithm is innovatively proposed. According to the key frames saved in the previous steps, feature points in local maps, sensor information, and loop information, a global optimization algorithm based on graph optimization model is constructed to optimize the position and pose of intelligent hardware system and the position of spatial feature points. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…This study presents a thorough evaluation of intelligent control methods for MPPT in HRESs, emphasizing their potential to optimize energy supply under varying conditions. …”
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Blind signal separation algorithm based on temporal predictability and differential search algorithm by Lei CHEN, Li-yi ZHANG, Yan-ju GUO, Yong HUANG, Jing-yi LIANG

“…The source signal component separated was wiped off using deflation method and all the source signals could be recovered successfully by repeating the separation process. …”
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Noise Reduction Scheme for High-speed Low-floor Tram Seating Areas by PAN Minkai, CHEN Yunsha

“…To ensure that high-speed low-floor trams can maintain good noise performance while increasing the operating speed, it is necessary to carry out research on the optimization of the whole vehicle noise scheme. [Method] Based on the FE (Finite Element)-SEA (Statistical Energy Analysis) method, a SEA model of the whole vehicle is established, and the vehicle interior noise is simulated and predicted through acoustic software. …”
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Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine by Alejandro Garcés-Ruiz, Walter Julián Gil González

“…Method: A passivity-based model predictive control (MPC) is proposed, integrating port-Hamiltonian representation with optimization. …”
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