Multi-objective optimization of auxiliary wireless power supply system for maglev trains by CHENG Long, DONG Kan, WANG Shuo

Subjects: “…maglev train…”
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Fuzzy Reliability Optimal Design of Multi-stage Planetary Gear Train with Multi-objective by Hao Liping

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A multi-objective optimization approach for the virtual coupling train set driving strategy by Junting Lin, Maolin Li, Xiaohui Qiu

Subjects: “…High-speed trains…”
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SMART: Semantic, Multi-Objective, and Reinforcement-Based Adversarial Training for Email Spam Detection by Kamal Taha

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Optimizing high-speed train tracking intervals with an improved multi-objective grey wolf by Lin Yue, Meng Wang, Peng Wang, Jinchao Mu

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Broadening the lens: A review of multi-object tracking task and its use in cognitive training by Pech Marion, Adolphe Maxime, Oudeyer Pierre-Yves, Sauzéon Hélène

Subjects: “…Multi-object tracking…”
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Research on Multi-Objective Optimization Design of High-Speed Train Wheel Profile Based on RPSTC-GJO by Mao Li, Hao Ding, Meiqi Wang, Xingda Yang, Bin Kong

Subjects: “…high-speed train…”
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Two-Stage Multi-Objective Optimization for Improving the Aerodynamic Characteristics of High-Speed Train Nose Shape by Suhwan Yun, Minho Kwak, Hyungmin Kang, Wonhee Park, Taesoo Kwon

Subjects: “…high-speed train…”
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Research and application of optimization of physical education training model based on multi-objective differential evolutionary algorithm by Man Wu

“…Based on the improvement of multi-objective differential evolution algorithm, this paper proposes the training model of PE education, and compares the prediction results and the actual results. …”
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Single-Task Joint Learning Model for an Online Multi-Object Tracking Framework by Yuan-Kai Wang, Tung-Ming Pan, Chi-En Hu

Subjects: “…multi-object tracking…”
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MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL by XIAO Qian, LUO Chao, OUYANG ZhiXu, CHANG Chao, LUO JiaWen

Subjects: “…High speed train…”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Voltage stability index (VSI) improved by 26.9% with scheduling STATCOM and renewable sources (RESs). For the multi-objective situation APL & AVD both simultatiously improved to 5.0701(MW) & 0.1221 (p.u.), respectively, with incorporating STATCOM and RESs using DTBO. …”
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CRASHWORTHINESS DESIGN AND OPTIMIZATION FOR COLLISION POST OF TRAIN by SHI YueQing, QIN RuiXian, CHEN BingZhi

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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…Multi-object tracking (MOT) has been at the center of numerous applications from autonomous vehicles (AVs) to surveillance and even retail analytics. …”
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An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation by Longda Wang, Yanjie Ju, Long Guo, Gang Liu, Chunlin Li, Yan Chen

Subjects: “…automatic train operation…”
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Research on Operation Curve Planning Technology Adaptive to Undulating Tracks for Heavy-Haul Trains by JIANG Jie, ZHANG Zhengfang, LUO Yuan, ZHOU Huangbiao, XIONG Jiayuan

Subjects: “…heavy haul train…”
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Multi-Objective Machine Learning Optimization of Cylindrical TPMS Lattices for Bone Implants by Mansoureh Rezapourian, Ali Cheloee Darabi, Mohammadreza Khoshbin, Irina Hussainova

“…This study presents a multi-objective optimization framework for designing cylindrical triply periodic minimal surface (TPMS) lattices tailored for bone implant applications. …”
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Enhanced multi-object tracking via appearance feature gating using UMAP by Ken Arioka, Yuichi Sawada

“…This study introduces a novel approach to enhance multi-object tracking performance in computer vision by addressing the challenges of inaccurate object matching in data associations. …”
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Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation by Luis M. Winkler, Alexander Kabza, Michael A. Danzer, Herbert Palm

“…To exploit the potential of FCS-based deployments, this paper presents a complete and consistent toolchain that enables their model-based understanding and multi-objective optimization (MOO) regarding design and operation. …”
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Learning from Outputs: Improving Multi-Object Tracking Performance by Tracker Fusion by Vincenzo M. Scarrica, Antonino Staiano

“…Our approach consistently surpasses the performance of individual trackers within the ensemble. Despite being trained on only 4 sequences and tested on 144 sequences from the VOTS2023 benchmark, our approach achieves a Q metric of 0.65. …”
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