Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks by Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar, Arindam Biswas, Hiroaki Satoh, Gurudas Mandal, Vitaliy Maksimenko, Victor Krishtop

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Detecting Short-Notice Cancellation in Hotels with Machine Learning by Eleazar C-Sánchez, Agustín J. Sánchez-Medina

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Machine Learning-Based Weld Classification for Quality Monitoring by Rojan Ghimire, Rajiv Selvam

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Toward sustainable machining of hardened SKD11: Machine learning-based evaluation and optimization of surface roughness, tool wear, and CO2 emissions by Van-Canh Nguyen, Dung Hoang Tien, Van-Hung Pham, Thinh-Viet Nguyen, Thuy-Duong Nguyen

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Temperature and Humidity Prediction Based on Machine Learning by Xiong Yanqi

“…The results indicate that the NN model outperforms the others, showing excellent performance in the dataset. Li addition to the outstanding performance of the neural NN. the RF and SVM also demonstrated strong performance, particularly hi handling specific features within the dataset, the model's performance can be further optimized by adjusting the NN's hyperparameters or introducing more feature engineering, which could lead to even better results hi future data analyses. …”
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Recent Advances in Precision, Sustainability and Safety of Machine Tools by Uhlmann Eckart

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Retraction notice to “A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning me... by Hisham Alghamdi, Chika Maduabuchi, Abdullah Albaker, Ibrahim Alatawi, Theyab R. Alsenani, Ahmed S. Alsafran, Abdulaziz Almalaq, Mohammed AlAqil, Mostafa A.H. Abdelmohimen, Mohammad Alkhedher

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ON GAME-THEORY APPROACH TO PROCESS MACHINE ADJUSTMENT PROBLEMS by Lyudmila Victorovna Borisova, Inna Nikolayevna Nurutdinova, Valery Petrovich Dimitrov

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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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Secured Real-Time Machine Communication Protocol by Yifei Ren, Lakmal Rupasinghe, Siavash Khaksar, Nasim Ferdosian, Iain Murray

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Reverse Engineering Segment Routing Policies and Link Costs With Inverse Reinforcement Learning and EM by Kai Wang, Chee Wei Tan

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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

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High Speed Synchronous Machines: Technologies and Limits by Mauro Di Nardo, Gianvito Gallicchio, Francesco Cupertino, Marco Palmieri, Mohammad Reza Ilkhani, Michele Degano, Chris Gerada

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Design and Modellingof a Pneumatic Vice Machine by Talemwa, Prosper

“…Through a series of experiments, the vice's performance was evaluated, demonstrating its reliability and effectiveness in maintaining the desired clamping force during machining and assembly processes. …”
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Evaluation of hydraulic fracturing using machine learning by Ali Akbari, Ali Karami, Yousef Kazemzadeh, Ali Ranjbar

“…This study presents a comprehensive machine learning (ML)-based framework to address this challenge by predicting HF efficiency using three widely used algorithms: Random Forest (RF), Support Vector Machine (SVM), and Neural Networks (NN). …”
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Automated Machine-Tractor Unit for Grass Mowing by Z. A. Godzhaev, S. A. Vasilyev, S. A. Mishin, E. V. Ruzanov

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Machine learning fusion for glioma tumor detection by C. Gunasundari, K. Selva Bhuvaneswari

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Survey of Mechatronic Techniques in Modern Machine Design by Devdas Shetty, Lou Manzione, Ahad Ali

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RUSSIAN MACHINE-BUILDING: COURSE TO IMPORT SUBSTITUTION by O. V. Karsuntseva

“…Russian mechanical engineering: a course towards import substitution // Actual problems of economics and law. 2016, No. 1, pp. 48-61 is retracted with the consent of the author, editor-in-chief and publisher.The Editorial Board of the Journal, when publishing scientific research materials, bases its performance on the rules of publication ethics observed by the Editorial Board members, reviewers and authors. …”
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Traffic Prediction with Data Fusion and Machine Learning by Juntao Qiu, Yaping Zhao

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