Research on noise characteristics and noise control of suspended monorail train by YU Yihang, CHEN Dawei, ZHAO Yanju, SUN Zhaojin, LIU Zongcai

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Expert-AI Collaborative Training for Novice Endoscopists: A Path to Enhanced Efficiency by Zhen Zhang, Bai-Sheng Chen, Ling Du, Quan-Lin Li, Yan Zhu, Pei-Yao Fu, Wen-Zheng Qin, Huan-Kai Shou, Ping-Ting Gao, Xin-Yang Liu, Meng-Jiang He, Zi-Han Geng, Shuo Wang, Ping-Hong Zhou

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Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing by Chunyu Song, Xiaomin Guo, Jianghua Sui

“…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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Optimal Path Choice in Railway Passenger Travel Network Based on Residual Train Capacity by Fei Dou, Kai Yan, Yakun Huang, Li Wang, Limin Jia

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A virtual rail train path recognition method based on binocular stereo vision by ZENG Junwei, GENG Li, LU Chenyang, REN Lihui

“…This paper presents a path recognition method based on binocular stereo vision for virtual rail train, to overcome the limitations of monocular vision and improve the path perception ability of virtual rail train. …”
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Study protocol for a non-randomized controlled trial of the effects of internet-based parent training as a booster to the preschool edition of PATHS®: Universal edition of the Parent Web. by Tina M Olsson, Pia Enebrink, Sabina Kapetanovic, Laura Ferrer-Wreder, Johanna Stålnacke, Lilianne Eninger, Kyle Eichas, Åsa Norman, Lene Lindberg, Ingela Clausén Gull, Hanna Ginner Hau, Mara Westling Allodi, Mina Sedem

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Three-Dimensional Path-Following Control of a Robotic Airship with Reinforcement Learning by Chunyu Nie, Zewei Zheng, Ming Zhu

“…This paper proposed an adaptive three-dimensional (3D) path-following control design for a robotic airship based on reinforcement learning. …”
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Design and Application of ATS Dispatch Path Search Method by ZHANG Yanqiu, LI Denggen, WANG Min'an, TAO Cui

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Automatic Driving Process Modeling and Solving of the Riding Comfort Optimal Problem for Metro Train by FENG Jianghua, LI Xiangyu, HU Yunqing, WANG Bin

“…Riding comfort optimal driving problem is a typical one in automatic driving system for metro trains. An optimal riding comfort driving model for a metro train traveling between stations was established, which takes the traction and brake characteristics into account and ensures the requirements of safe operation, on-time scheduling, and accurate parking, etc. …”
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Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning by Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

“…Reinforcement learning (RL) has been shown to be effective in path planning. However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. …”
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The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

“…The main approaches to ensuring security of information in the automated training systems are considered, need of application of situational management of security of information for the automated training systems is proved, the mathematical model and a problem definition of situational control is offered, the technique of situational control of security of information is developed.The purpose of the study. …”
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Quadratic Approximation of PV Curve Path Based on Local Phasor Measurements, in Presence of Voltage Dependent Loads. by Shahriar Abasi, Farid Karbalaei

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Research on Train Autonomous Circumambulation System by QING Jianqiang, LEI Chengjian, LIANG Bo

“…This paper analyzes the disadvantages of traditional CBTC system in China’s urban rail transit, introduces the system architecture, principle and typical core functions of TACS (train autonomous circumambulation system), and gives a detailed comparison and analysis between TACS and traditional CBTC system.TACS is based on train to train and train to ground LTE-M-communication, which is based on train self-discipline, and characterized by train autonomous operation path, autonomous protection and autonomous operation adjustment. …”
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Investigating the Path Analysis Model of Interpersonal Trust, Controlling Behaviors, Marital Distress, and Job Satisfaction of Dual-Earner Couples by Hajar Bararti, Elham Pahlevani

“…This study aimed to investigate the path analysis model of interpersonal trust, controlling behaviors, marital distress and job satisfaction in the dual-earner couples. …”
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Strategies for upgrading the training of personnel at the Shanghai Municipal and district Centers for Disease Control and Prevention by HE Yongchao, SUI Mengyun, LI Yugang

“…ObjectiveTo investigate the current status of personnel training, barriers and bottlenecks at Shanghai Municipal and district Centers for Disease Control and Prevention (hereinafter referred to as" CDC"), so as to provide a reference basis for the formulation of training policies that are consistent with the CDC’s staff development path, characteristics of the era, and features of Shanghai mega⁃city.MethodsQuestionnaire survey and qualitative interview were used to collect the data, covering the basic information of the research subjects, as well as training status, needs, barriers and problems. …”
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Narrow-Route Path Planning for Mobile Robots Using Deep Deterministic Policy Gradient Considering Turning Radius Limit by Naoki Motoi, Tomoaki Nakamura

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Assessing Train-Induced Building Vibrations in a Subway Transfer Station and Potential Control Strategies by Mengting Xing, Juxiang Zhu, Dingqing Chen

“…Then, a top-down comprehensive design of vibration mitigation based on the transmission path is developed to propose a practical control method. …”
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Effect of Virtual-Reality-Based Training, Including Preceding Trunk Stabilization Education, on Postural Control and Balance in Patients with Stroke: A Randomized Controlled Trial by SeongMin Lee, JongEun Yim

“…This study investigated the effects of virtual reality (VR)-based training combined with preliminary trunk stabilization education on postural control and balance in stroke patients. …”
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Model-Based Offline Reinforcement Learning for AUV Path-Following Under Unknown Ocean Currents with Limited Data by Xinmao Li, Lingbo Geng, Kaizhou Liu, Yifeng Zhao

“…Minimizing experimental data while maintaining good AUV path-following performance is essential to reduce controller design costs and ensure AUV safety, particularly in complex and dynamic underwater environments with unknown ocean currents. …”
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Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning by Kinza Nazir, Yong-Woon Kim, Yung-Cheol Byun

“…The integration of automated guided vehicles (AGVs) in industrial automation demands precise and adaptive control systems for efficient path tracking. This study introduces a hybrid framework combining traditional Proportional-Integral-Derivative (PID) control with advanced machine learning to optimize AGV performance. …”
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