Experimental and Mathematical Studies for Optimality of GTAW Parameters on Similar and Dissimilar Steel Substrates by Bandaru Kiran, Dega Nagaraju, Senthil Kumaran Selvaraj, Baye Molla

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Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks by Weidong Cao, Shutang Liu, Xuechi Gao, Fei Ren, Peng Liu, Qilun Wu

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Modeling of Reinforced Concrete Beams Exposed to Fire by Using a Spectral Approach by Rui Sun, Bo Xie, Ricardo Perera, Yongjun Pan

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Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation by Fei Simiao, Huo Lin, Sun Zhixiao, Wang He, Lu Yuanjie, He Jile, Luo Qing, Su Qihang

“…This study introduces a novel deep modeling approach that utilizes Hamiltonian neural networks to address the challenges of modeling the six degrees of freedom rigid-body dynamics induced by control inputs in various domains such as aerospace, robotics, and automotive engineering. The proposed method is based on the principles of Hamiltonian dynamics and employs an inductive bias in the form of a constructed bias for both conservative and varying energies, effectively tackling the modeling issues arising from time-varying energy in controlled rigid-body dynamics. …”
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Passenger Satisfaction Analysis of an Urban Subway Based on Travel Behaviour Characteristics by Fuquan PAN, Shuai CHENG, Lixia ZHANG, Xiaoxia YANG, Jinshun YANG

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Combining Optimal Controller and Luenberger Observer for an Active Roll Control System on Trucks to Avoid Rollover Phenomenon at High Speeds by Vu Van Tan, Pham Tat Thang, Do Trong Tu, Kieu Duc Thinh

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Influence of Magnetic Wood on Mechanical and Electromagnetic Wave-Absorbing Properties of Polymer Composites by Satish Geeri, B. Krishna Murthy, Aditya Kolakoti, M. Murugan, P. V. Elumalai, N. R. Dhineshbabu, S. Prabhakar

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Vista for educational and research activities in humanitarian and socio-economic disciplines in presence of a non-profile faculty in university by M. S. Novikov, S. V. Novikov

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An Impedance Matching Method Based on Optimized BP Neural Network for Vehicular Power Line System by Renfa Song, Hanyan Li, Yongtao Li

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Directed Energy Deposition via Artificial Intelligence-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Aakrit Sharma Lamsal, Yashwanth Maddini, Abhishek Krishna Ravinuthala, Bhawana Choudhary, Anirudh Mishra, Deepesh Padala, Shashank M, Vedang Lahoti, Addisalem Adefris, Dhanalakshmi S

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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems by Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen

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Flexibility estimation of electric vehicles and its impact on the future power grid by Jiexiang Wu, Li Li, Jiangfeng Zhang, Boyi Xiao

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Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data by Yuxiong Ji, Jizhou Zhao, Zhiming Zhang, Yuchuan Du

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Implementation of the Human-Like Lane Changing Driver Model Based on Bi-LSTM by Junyu Cai, Haobin Jiang, Junyan Wang

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Deep reinforcement learning and robust SLAM based robotic control algorithm for self-driving path optimization by Samiullah Khan, Ashfaq Niaz, Dou Yinke, Muhammad Usman Shoukat, Saqib Ali Nawaz

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Predicting the Adsorption Efficiency Using Machine Learning Framework on a Carbon-Activated Nanomaterial by Kalapala Prasad, V. Ravi Kumar, R. Suresh Kumar, A. S. Rajesh, Anjani Kumar Rai, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, Amjad Iqbal, Dawit Kefyalew

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Fragmentation Pattern and Removal Mechanism of Concrete Subjected to Abrasive Water Jet Impact by Jialiang Liu, Yujie Zhu, Yongzhi Xue, Hao Sun

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Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion by Shaojin Ma, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li, Huaiguang Guan

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5-DOF Dynamic Modeling of Rolling Bearing with Local Defect considering Comprehensive Stiffness under Isothermal Elastohydrodynamic Lubrication by Pengfei Yan, Changfeng Yan, Kai Wang, Fengtao Wang, Lixiao Wu

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Predicting Welding Distortion in a Panel Structure with Longitudinal Stiffeners Using Inherent Deformations Obtained by Inverse Analysis Method by Wei Liang, Hidekazu Murakawa

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