SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication by Yusuf Kursat Tuncel, Kasım Öztoprak

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Dependency of the pulse dynamic electrochemical machining characteristics of Allvac 718 plus in NaNO3 solution on the machining paraments by Moqi Shen, Shuanglu Duan, Zhengrui Zhou, Zhichun Zhang, Jia Liu, Di Zhu

“…It is considered a promising method for manufacturing the blisks of next-generation aircraft engines. Allvac 718 Plus (ATI718 Plus), a new generation nickel-based superalloy, is an essential material for these blisks due to its exceptional performance under high-temperature and high-pressure conditions. …”
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Reliability improvement of lead accumulators of agricultural machines by V. V. Bednarsky, D. V. Layko, S. I. Revyako

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High precision and consistent machining of cylindrical rollers using ceramic lapping plates with both-sides machining method by Tianchen Zhao, Kaiping Feng, Luguang Guo, Binghai Lyu, Weifeng Yao, Junkai Ding, Julong Yuan

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Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

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Enhancement of Machining Performance of Ti-6Al-4V Alloy Though Nanoparticle-Based Minimum Quantity Lubrication: Insights into Surface Roughness, Material Removal Rate, Temperature,... by Tahir Mehmood, Muhammad Shahid Khalil

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In-depth Analysis on Machine Learning Approaches by Abdulhady A. Abdullah, Nergz S. Mohammed, Maryam Khanzadi, Safar M. Asaad, Zrar Kh. Abdul, Halgurd S. Maghdid

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Hybrid oversampling technique for imbalanced pattern recognition: Enhancing performance with Borderline Synthetic Minority oversampling and Generative Adversarial Networks by Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, Zahed Siddique

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Text-Conditioned Diffusion-Based Synthetic Data Generation for Turbine Engine Sensor Analysis and RUL Estimation by Luis Pablo Mora-de-León, David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz

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Application of vibration analysis for monitoring turbocharger condition in internal combustion engines by František Tóth, Peter Kuchar, Juraj Jablonický, Juraj Tulík, Štefan Čorňák

“…This study explored the application of vibration diagnostics to assess the operational conditions of turbochargers in internal combustion engines. Emphasizing the critical role of turbochargers in enhancing engine efficiency and performance, this study highlights the benefits of vibration analysis for predictive maintenance. …”
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Burned Area Detection in the Eastern Canadian Boreal Forest Using a Multi-Layer Perceptron and MODIS-Derived Features by Hadi Mahmoudi Meimand, Jiaxin Chen, Daniel Kneeshaw, Mohammadreza Bakhtyari, Changhui Peng

“…This study develops, compares, and optimizes machine learning (ML)-based models for burned area classification in the eastern Canadian boreal forest from 2000 to 2023 using MODIS-derived features extracted from Google Earth Engine (GEE), and the feature extraction includes maximum, minimum, mean, and median values per feature to enhance spectral representation and reduce noise. …”
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Evaluating the performance of CHIRPS and CPC precipitation data for streamflow forecasting using multiple linear regression and Long Short-Term Memory Neural Network model by Khairul Hasan, Md Sahidul Islam, Khayrun Nahar Mitu, Mahade Ibn Salam, Nazli Aghashahi

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Financial Behavior of Engineering Productions in the Face of Economic Sanctions (in Novosibirsk Region) by L. I. Lugacheva, M. M. Musatova, T. S. Soboleva

“…In the work carried out is the processing of statistical data that allowed to give the quantitative characteristics of the performance of the machine-building enterprises of the region under the conditions of sanctions. …”
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Beyond <i>xG</i>: A Dual Prediction Model for Analyzing Player Performance Through Expected and Actual Goals in European Soccer Leagues by Davronbek Malikov, Jaeho Kim

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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…A comparison study has been developed between different Machine Learning (ML) models and a number of performance metrics are calculated. …”
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Machine Learning for Health Insurance Prediction in Nigeria by Victor Enemona Ochigbo, Oluwasogo Adekunle Okunade, Emmanuel Gbenga Dada, Oluyemi Mikail Olaniyi, Oluwatoyosi Victoria Oyewande

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Performance evaluation of a variable-speed contra-rotating pump-turbine for low-head pumped hydro energy storage: An experimental study by Ruben Ansorena Ruiz, David Schürenkamp, Daan P.K. Truijen, Justus P. Hoffstaedt, Antonio Jarquin Laguna, Jonathan Fahlbeck, Håkan Nilsson, Melvin Joseph, Mehrdad Zangeneh, Jeroen D.M. De Kooning, Jonas Oldeweme, Heiko Schwarz, Nils Goseberg

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Digitalization of the planning system at mechanical engineering enterprises: results, problems, prospects by Fomin Semyon, Ermakova Zhanna

“…Based on a review of domestic and foreign studies in the field of planning from the 1920s to the present day, the following stages of informatization of the planning process are considered: the use of mechanical engineering tools, computerization, digitalization; the relevance of the transition of the planning system of machine-building holding to the stage of digitalization based on certain effects; the problems of digitalization; the inevitability of changes and the need to give these changes a positive content of modernization. …”
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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

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A multi-faceted review on industrial grade nanolubricants: Applications and rheological insights with global market forecast by Gaurab Kumar Ghosh, Sikta Panda, Niranjan Kumar, Subrata Kumar Ghosh, Ankit Kotia, Jayant Giri, Mohammad Kanan, T. Sathish

“…The formulation of colloidal suspension with nano-dispersants in different engine and gear oils is gaining momentum owing to its vast industrial applicability. …”
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