Optimization of Classification Track Assignment Considering Block Sequence at Train Marshaling Yard by Yingqun Zhang, Rui Song, Shiwei He, Haodong Li, Xiaole Guo

“…An operational process at train marshaling yard is considered in this study. …”
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Emergencies of zoonotic diseases, drivers, and the role of artificial intelligence in tracking the epidemic and pandemics by Akmal Zubair, Rawaha Mukhtar, Hanbal Ahmed, Muhammad Ali

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Illuminating the impact of stress: In vivo approaches to track stress-related neural adaptations by Puja K. Parekh

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Study results in curvilinear motion of high-speed track machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…One of the components of scientific research in this direction is carrying out simulation modeling of the movement of equipment. Modeling the motion process will make it possible to substantiate the energy characteristics of the electromechanical transmission of a tracked vehicle and confirm the adequacy of previously performed theoretical studies.Research methods. …”
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Structural synthesis of discrete adaptive tracking systems based on the combined maximum principle by Andrey A Kostoglotov, Sergey V. Lazarenko, Anton A Kuznetsov, Igor V. Deryabkin, Vitaly A Losev

“…Discrepancy of the mathematical model structure to the observed process is one of the causes for loss in the control system operation. …”
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Tracking Secondary Raw Material Operational Framework—DataOps Case Study by Gabriel Pestana, Marisa Almeida, Nelson Martins

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Dynamic response characteristics of the initial support structure of the double-track tunnel blasting by HUANG Chuansheng, YANG Xin, LIN Jihua, XU Hao, HU Deyu, REN Kaifu

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Object Tracking Algorithm Based on Multi-Layer Feature Fusion and Semantic Enhancement by Jing Wang, Yanru Wang, Dan Yuan, Yuxiang Que, Weichao Huang, Yuan Wei

“…However, this algorithm exhibits insufficient tracking accuracy and boundary box drift when dealing with similar background clutter, which directly affects the subsequent tracking process. …”
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Prototype Development for Solar Energy Tracking Based on Arduino in QUEST Campus Larkana by Abdul Hameed soomro, SanaUllah Talani, Talha Soomro, Faraz Ali Khushk, Ahmer Ali Bhatti

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Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows by Zongwei Jia, Yingjie Zhao, Xuanyu Mu, Dongjie Liu, Zhen Wang, Jiangtan Yao, Xuhui Yang

“…To address the challenges of detection difficulties and technological limitations, this paper proposes an automated scoring method for cow lameness that integrates deep learning with keypoint tracking. First, the DeepLabCut tool is used to efficiently extract keypoint features during the walking process of dairy cows, which enables the automated monitoring and output of positional information. …”
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Aspects of design and calculation of a railway track intended for dedicated passenger lines by D. V. Ovchinnikov, K. A. Kul’gin

“…The structures of the track superstructure used for the transportation process at the present time were developed and implemented taking into account the mixed traffic — passenger and freight. …”
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Recent developments in high-speed railway in Indonesia: Superstructure construction and track infrastructure by Rafif Zufarihsan, Asdam Tambusay, Priyo Suprobo, Benny Suryanto, Omar Laghrouche

“…The paper then explores the two types of trackform systems used in the HSR line (ballasted track and slab track), focusing on the construction process, along with the advantages and disadvantages of each trackform system when applied to different sections of the HSR line. …”
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An Improved DeepSORT-Based Model for Multi-Target Tracking of Underwater Fish by Shengnan Liu, Jiapeng Zhang, Haojun Zheng, Cheng Qian, Shijing Liu

“…The traditional DeepSORT algorithm has been widely applied to object tracking tasks; however, in practical aquaculture environments, high-density cultured fish exhibit visual characteristics such as similar textural features and frequent occlusions, leading to high misidentification rates and frequent ID switching during the tracking process. …”
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Performance Evaluation of Nigeria Railway Track Ballast Under Simulated Operational Conditions by Stephen Adeyemi Alabi, Thomas Stephen Ijimdiya, Joseph Olasehinde Afolayan, Oladunni Abosede Daramola, Tolulope Abidemi Alabi, Rahman Tunde Agbede, Ayodeji Stanley Olowoselu, Jeffrey Mahachi, Chinwuba Arum

“…Over time, most research on railway track performance has focused mainly on rail and track geometry, with a few considering the damage or degradation occurring at the substructure level. …”
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A trajectory planning and tracking method based on deep hierarchical reinforcement learning by Jiajie Zhang, Bao-Lin Ye, Xin Wang, Lingxi Li, Bo Song

“…Moreover, our proposed method has better comfort performance and lower fuel consumption during the driving process.…”
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Tracking the trajectory of a swarm of mobile robots with a computer vision system by Andrés Jiménez-Mora, Kevin Morales-Paz, Juan Carlos Brenes-Torres, Rebeca Solís-Ortega, Cindy Calderón-Arce

“…Furthermore, it offers an exhaustive explanation of the robot tracking process. Experimental trials with three robots validate the system’s ability to extract images from video feeds and accurately identify each robot. …”
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Advancing neutron imaging techniques to highest resolution with fluorescent nuclear track detectors by Abdul Muneem, Junya Yoshida, Takehiko R. Saito, Hiroyuki Ekawa, Masahiro Hino, Katsuya Hirota, Go Ichikawa, Ayumi Kasagi, Masaaki Kitaguchi, Kenji Mishima, Jameel-Un Nabi, Manami Nakagawa

“…Fluorescent nuclear track detectors are reusable solid-state detectors that do not require additional chemical processing. …”
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Design Scheme of Application Library Tracks for City (Suburban) Railway Vehicle Bases by WANG Jun

“…[Objective] To enhance the overall efficiency of vehicle base engineering, reduce investment costs, and strengthen the technical reserves and adaptability of process design, research is carried out on the design schemes for operation workshop tracks in city (suburban) railway vehicle bases. …”
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Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review by Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo De Paiva, Ishak Pacal, Antonio Cunha

“…Effective image and video annotation is a fundamental pillar in computer vision and artificial intelligence, crucial for the development of accurate machine learning models. Object tracking and image retrieval techniques are essential in this process, significantly improving the efficiency and accuracy of automatic annotation. …”
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The Effects of Cognitive Load on Pupil Dilation in Volleyball Players: An Eye-Tracking Study by Tugba Nalcacigil, Gülcin Güler, Semra Bıdıl, Nuran Küçük, Tugce Toktay, Deniz Simsek

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