Classifying seismic event parameters using artificial intelligence by Abbas Maazallahi, Kameron Bustos, Mohammad Amir Salari, Eli Snir, Payam Norouzzadeh, Bahareh Rahmani

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Influence of geometrical parameters on casting hardness at high temperatures by V. F. Bevza, V. A. Popkovsky

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OPTIMIZATION OF CUTTING PARAMETERS ON THE BASIS OF SEMANTIC NETWORK USAGE by V. M. Pashkevich, M. N. Mironova

“…The paper considers problems on accuracy assurance of machine component cutting while using edge tools. …”
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Recognition of Manipulative Text: Structure and Dominant Language Parameters by Gulmira N. Kenzhebalina, Gulvira K. Shaikova, Maygul T. Shakenova, Inessa G. Akoyeva

“…A 4-component universal structure of manipulative texts is compiled, including language parameters extracted from manipulative texts.…”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…The normalization constant inherent in this requirement helps to inform the optimization over shape parameters, giving a joint optimization problem over these as well as primary parameters of interest. …”
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Study of the VAC of the EPCTT process with varying electrode parameters by Б.К. Рахадилов, Н.Е. Бердімуратов, Л.Г. Журерова, Л.Б. Баятанова, Ш.Р. Курбанбеков, З.А. Сатбаева

“… Nowadays the treatment of machine parts, instruments is one of the actual topics in the modern world. …”
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Justification of Technological Schemes and Parameters of Robotic Milking Parlors by S. S. Ruzin, F. E. Vladimirov, S. S. Yurochka, G. A. Dovgerd

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Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier by C. V. Subbulakshmi, S. N. Deepa

“…Most classifiers are designed so as to learn from the data itself using a training process, because complete expert knowledge to determine classifier parameters is impracticable. This paper proposes a hybrid methodology based on machine learning paradigm. …”
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Thermal management and biocompatibility in dry machining: An experimental study of ZrO2-based cutting tool for bone machining by Phanindra Addepalli, Worapong Sawangsri, Saiful Anwar Che Ghani

“…The study compares wet and dry machining to analyze the effects of temperature and cell behaviour. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

Subjects: “…meteorological parameters…”
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Investigation on the Relationship Between the Vibratory Peening Process Parameters and Almen Intensity by Maxime Paques, Miao Hong Yan, Changeux Benoit, Turenne Sylvain, Badreddine Jawad, Martin Etienne

“…In this study, the design of experiments (DOE) was used to investigate the effect of seven vibratory peening process parameters on Almen intensity. A specific vibratory peening machine, with the tub vibrating in a vertical pattern and resting on airbags, was built. …”
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Research on Monthly Runoff Forecast in Dry Seasons Based on GEO-RVM Model by ZHANG Yajie, CUI Dongwen

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Transient Equivalent Modelling of a Wind Farm Based on QPSO-Based Wind Turbine Fault Ride-Through Control by Jianan He, Shenbing Ma, Xu Zhang, Meiling Luo, Lei Li, Jian Niu, Haitao Liu, Ping Jin, Yabo Liang

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Evaluation of Agricultural Machinery Operation Modes by M. N. Kostomakhin

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VIBRATORY PARAMETERS OPTIMIZATION OF HARVESTER`S RUNNING GEAR SYSTEM by S.A. PARTKO

“…The article gives the analysis of possible criteria of application when accounting vibratory parameters mobile agricultural machines optimization. …”
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Assessment of the Technical Objects State by the Parameters of the Vibration Signal by P. J. Brancevich, N. V. Lapitskaya, V. A. Levantsevich, D. V. Demenkovets

“…Among the considered the main primary informative parameters of vibration signals used to assess the vibration state of rotary-type machines. …”
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Parameters analysis and process optimization of shell precision thermoforming by Cheng Haozhe, Xu Shubo, Sun Kangwei, Wang Shengliang, Pan Yuefei, Ma Hailong, Ren Guocheng, Li Jianing, Zhao Zhongkui

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Galaxy Cluster Characterization with Machine Learning Techniques by M. Sadikov, J. Hlavacek-Larrondo, L. Perreault-Levasseur, C. L. Rhea, M. McDonald, M. Ntampaka, J. ZuHone

“…We present an analysis of the X-ray properties of the galaxy cluster population in the z = 0 snapshot of the IllustrisTNG simulations, utilizing machine learning techniques to perform clustering and regression tasks. …”
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Machine learning techniques for breast cancer diagnosis by Kirill S. Dyomin, Ilya V. Germashev

“…The medical literature analysis has determined the parameters that are used as input data in machine learning techniques. …”
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Mathematical Optimization in Machine Learning for Computational Chemistry by Ana Zekić

“…Machine learning (ML) is transforming computational chemistry by accelerating molecular simulations, property prediction, and inverse design. …”
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