Performance Comparison of Permanent Magnet Vernier Motors and Permanent Magnet Synchronous Motors by Yunjiao Li, Jing Zhao, Jie Fu, Yinliang Xia, Wei Wang, Xiaobei Li

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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

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The spatial-temporal probability assessment for slope instability based on uncertainty of machine learning-based prediction by Tai-feng Li, Xian-pu Xiao, Rong-hui Yan, Kang Xie, You-ming Zhao, Qian-li Zhang, Mao-qin Che

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The Impact of Wafters on the Thermal Properties and Performance of In-Wheel Motor by Muhammad Hasan Albana, Ary Bachtiar Khrisna Putra, Harus Laksana Guntur

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Comprehensive performance assessment of an over-the-row olive harvester by Mohamed Ghonimy, Abdulaziz Alharbi, Mohamed M. Ibrahim

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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

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NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS by G. Challa Ram, M. Venkata Subbarao, K. Padma Satya Sri, Naveen Kumar Maurya, D. Ramesh Varma, M. Prema Kumar

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Applying Human Factors Engineering Program to the Modernization Project of NPP Control Room in accordance with U.S.NRC and KTA Regulations by Renato Koga de Avellar, Roberto Schirru

“…Application of Human Factors Engineering (HFE) in the design and implementation of such a project is essential to ensure that the new man-machine interface outcoming from the modernization does not have any negative impacts on human performance and plant safety. …”
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Some Studies on the Mechanism of Chip Formation during Machining of Chromium Manganese Austenitic Stainless Steel by Swarup De, Kalyan Chakraborty

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Prediction of Soil Field Capacity and Permanent Wilting Point Using Accessible Parameters by Machine Learning by Liwei Liu, Xingmao Ma

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Dynamic demand response strategies for load management using machine learning across consumer segments by Ravi Kumar Goli, Nazeer Shaik, Manju Sree Yalamanchili

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Strategy for Compensation of Thermally Induced Displacements in Machine Structures Using Distributed Temperature Field Control by Patrick Pöhlmann, Jens Müller, Steffen Ihlenfeldt

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Evaluation of Ground Displacements Caused by Installing Jet Grouted Columns Using Machine Learning Methods by Zhi-Feng Wang, Xing-Bin Peng, Yong Liu, Wen-Chieh Cheng, Ya-Qiong Wang, Chao-Jun Wu

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Advanced machine learning techniques for predicting mechanical properties of eco-friendly self-compacting concrete by Arslan Qayyum Khan, Syed Ghulam Muhammad, Ali Raza, Amorn Pimanmas

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Study on oil pilot circuit of adaptive hydraulic drive of tool advance in mobile drilling machine by V. S. Sidorenko, V. I. Grishchenko, S. V. Rakulenko, M. S. Poleshkin, D. D. Dymochkin

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An overview of AI in Biofunctional Materials by Dazhou Li

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Hybridization of Machine Learning Algorithms and an Empirical Regression Model for Predicting Debris-Flow-Endangered Areas by Xiang Wang, Mi Tian, Qiang Qin, Jingwei Liang

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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

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Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images by Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U. R. Acharya

“…The classifiers k-nearest neighbors (kNN) and support vector machine (SVM) are used to produce specific outcomes. …”
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