Enhancing hydraulic fracturing efficiency through machine learning by Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh

“…In the complex field of HF, the accurate assessment of fracture parameters is crucial for optimizing operational efficiency and ensuring environmental safety. …”
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Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…In this article, a novel hybrid model of an induction machine is proposed that can emulate the response of a machine with a faulty bearing. …”
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Adjusting the size of the rope thread in the machining of dimensional tool by S. S. Nekrasov, Е. А. Ageeva

“…The results allow establishing that due to changes in the tool path correction is possible geometrical parameters of rope thread, thereby will process with ensuring the required geometry. …”
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Dynamic squeezing behavior of tamping machine in railway maintenance by Liang Gao, Shunwei Shi, Chang Liu, Yixiong Xiao, Chunyu Wang, Yuze Wang

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Leveraging Intelligent Machines for Sustainable and Intelligent Manufacturing Systems by Somkiat Tangjitsitcharoen, Nattawut Suksomcheewin, Alessio Faccia

“…This study presents an intelligent machine developed for real-time quality monitoring during CNC turning, aimed at improving cutting efficiency and reducing production energy. …”
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The estimation of fuzzy boundary of multioperational machine tool life by Andrey Kirillovich Tugengold, Konstantin Grigoryevich Shuchev, Andrey Igorevich Izyumov, Dmitry Yuryevich Terekhov

“…Three methods for estimating the parameters of the resistance fuzzy boundary are presented. …”
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Methodology for Diagnostics of Transformers and D.C. Electric Machines by I. I. Branovitsky, P. D. Matskevich, I. T. Skurtu

“…The paper considers methods for testing electric power equipment with reference to power transformers and electric direct current machines by measuring complex of their parameters. …”
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Special aspects of machining of internal threads by measure tool by A. A. Neshta, D. V. Krivoruchko

“…Further study of possible use of up to measure tool in machining other types of threads is an urgent task, the realization of which is necessary to determine of parameters of tool diameter and its motion trajectory. …”
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Design and Simulation of a Pedal Operated Hacksaw Machine. by Amanya, John Jackin

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Universal machine learning interatomic potentials are ready for phonons by Antoine Loew, Dewen Sun, Hai-Chen Wang, Silvana Botti, Miguel A. L. Marques

“…These findings highlight the importance of considering phonon-related properties in the development of universal machine learning interatomic potentials.…”
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Integration of Reliability Concept into Soil Tillage Machine Design by Ghias Kharmanda, Imad Antypas

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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“… Human intervention cannot halt natural disasters like earthquakes, but machine learning application expertise can be utilized to detect patterns in data and increase understanding and predictive power. …”
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Evaluating structural safety of trusses using Machine Learning by Tran-Hieu Nguyen, Anh-Tuan Vu

“…In this paper, a machine learning-based framework is developed to quickly evaluate the structural safety of trusses. …”
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Thermoelectric device for fastening parts by freezing during machining by O. V. Evdulov, D. V. Evdulov, S. G. Gasanova, Z. M.–Z. Badrudinova

“…The purpose of the study is to develop the design of a thermoelectric device for fastening parts by freezing during machining, and to analyze its parameters and characteristics.Method. …”
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Design and Pro-typing of an Electronic Coil Winding Machine. by Arinaitwe, Joel

“…Data Recording and Analysis: The encoder data can be logged and analyzed to monitor the winding process, identify potential issues, and optimize machine parameters for different coil specifications.…”
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Electromechanical transmission of tracked machine energy characteristics study by V. N. Kuznetsova, R. V. Romanenko

“…Modeling the motion of a tracked vehicle with an electromechanical transmission makes it possible, in addition to determining the transmission parameters, to formulate preliminary requirements for its characteristics.Discussion and conclusion. …”
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Analysis of the Utilization of Machine Learning to Map Flood Susceptibility by Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca

“…ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). …”
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Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

“…In this research we used the daily observational data on the snow cover and surface meteorological parameters, obtained at three stations situated in different geographical regions: Col de Porte (France), Sodankyla (Finland), and Snoquamie Pass (USA).Statistical modeling of the snow cover depth is based on a complex of freely distributed the present-day machine learning models: Decision Trees, Adaptive Boosting, Gradient Boosting. …”
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A Machine Vision Perspective on Droplet‐Based Microfluidics by Ji‐Xiang Wang, Hongmei Wang, Huang Lai, Frank X. Liu, Binbin Cui, Wei Yu, Yufeng Mao, Mo Yang, Shuhuai Yao

“…MDIA characterizes droplets by diameter, number, frequency, and other parameters. As more training data are added by other users, MDIA's capability and universality expand, contributing to a comprehensive database for droplet microfluidics. …”
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Simulation of Electromagnetic Field of a Powerful Electrical Machine by D. I. Hvalin, O. H. Kensytskyi, K. O. Kobzar

“…In mathematical modeling, a sequential logical transition is applied from a simple model of the central part of the machine to a more complex model of the end zone using preliminary results, which makes it possible to obtain data on the distribution of the electromagnetic field in complex areas. …”
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