Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

“…The goal of this research was to implement machine vision algorithms in a cattle stable to detect cattle in stalls and determine their activities. …”
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Mathematical model of shaping toothed products using volumetric tool with one motion parameter by A. A. Silich, Eh. M. Yusupova

“…The development of a mathematical model of one-parameter shaping of a toothed product is considered. …”
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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

“…Leaf area is an important parameter in plant growth, physiology, and productive potential studies. …”
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Optimal Stopping Theory-Based Online Node Selection in IoT Networks for Multi-Parameter Federated Learning by Seda Dogan-Tusha, Faissal El Bouanani, Marwa Qaraqe

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Optimization of Geometric Characteristics of Cycloidal Profiles of Gerotor Hydraulic Machines by S. O. Kireev, A. R. Lebedev, M. V. Korchagina

“…A number of optimal values of profile parameters according to the criteria of productivity and operability of gerotor machine was obtained. …”
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Predicting Quail Egg Quality Using Machine Learning Algorithms by BI Yildiz, K Eskioğlu, D Özdemir, M Akşit

“…ABSTRACT This study evaluates the effectiveness of machine learning algorithms in predicting quail egg quality based on nine key parameters, including egg weight, egg width, egg length, yolk height, yolk width, yolk weight, albumen height, albumen width, and albumen length. …”
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Current Research of Micro Electrical Discharge Machining of Micro-hole by XIE Bao-cheng, CUI He-xin, ZHANG Yuan, LIU Xian-li

“…The double-sided lapping /polishing machine processing，the actual operation and the selection of technological parameters has practical value，and provides a theoretical basis for the future research work.…”
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Motion modes simulation of a mobile transport and technological machine by Tarichko V.I., Lagerev I.A., Chernykh A.A.

“…The magnitude of the external loads and impacts on the mobile transport and technological machine depend on the current motion mode and its parameters. …”
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Application of machine learning algorithms in predicting pyrolytic analysis result by Thi Nhut Suong Le, A. V. Bondarev, L. I. Bondareva, A. S. Monakova, A. V. Barshin

“…Those algorithms can be applied to predict all geochemical parameters of extracted samples.Conclusions. The best machine learning algorithm for this task is the Random forest.…”
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Parametric Optimization of Electric Discharge Machining for AISI 1045 Steel by Muhammad Mansoor Uz Zaman Siddiqui, Syed Amir Iqbal, Ali Zulqarnain, Adeel Tabassum

“… This study investigates the optimization of Electric Discharge Machining (EDM) parameters for AISI 1045. It is a medium carbon steel which is commonly used in automotive and aerospace industries because of its balanced strength, toughness and machinability. …”
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Physics-Informed Machine Learning for Power Grid Frequency Modeling by Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut

“…Thus, power system dynamics must be regarded as a nonautonomous system whose parameters vary strongly with time. However, the external driving factors are usually only available on coarse scales and the actual dependencies of the dynamic system parameters are generally unknown. …”
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VIRTUAL MACHINING AND FINITE ELEMENT ANALYSIS OF SPIRAL BEVEL GEAR by WANG ZhongHou, HUANG CongYang, SHI ZhaoYao, LIU HeTao, QIAN XiaoQi, AIZOH Kubo

“…In the gear design stage,the finite element method is used to study the contact performance and transmission characteristics of the gear,so as to predict and evaluate the quality of the virtual machining gear,analyze the relationship between the gear performance and the adjustment parameters of the machine tool,and play an important role in the reverse adjustment of the processing adjustment parameters of the spiral bevel gear.…”
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Application of machine learning to optimized design of layer structured particles by Hiroki GONOME, Hirotake SATO, Tatsuro HIRAI

“…The constructed machine learning code was then used to optimize the particle parameters. …”
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Predicting Forest Evapotranspiration using Remote Sensing and Machine Learning by B. Yadav, L. K. Sharma, B. Bijarniya

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Increasing the Operating Lifetime of Wearable Working Bodies of Agricultural Machines by Ya. P. Lobachevskiy, D. A. Mironov, A. V. Mironova

“…Surfacing technologies for hardening the agricultural machine working bodies are compared. The paper substantiates the most effective technological options, individual technical and economic parameters, recommendations for the use of materials. …”
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Ornstein–Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines by Jesús García Fernández, Nasir Ahmad, Marcel van Gerven

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QUALITY OF CYLINDRICAL SURFACES AT PROCESSING IN DRIVER MACHINE-TOOL ADAPTATIONS by Erokhin V.V.

“…In the article studies were conducted to determine the influence of the structural parameters of the drive devices on the accuracy and productivity of the treatment. …”
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A software pipeline for systematizing machine learning of speech data by Jimuel Celeste, Mashrura Tasnim, Amable J. Valdés Cuervo, Enrique A. de la Cal, Eleni Stroulia

“…However, as the complexity of the available relevant software libraries and their parameters increases, we argue that researchers should not only share their data but also their preprocessing and machine learning configurations so that their experiments may be fully reproduced. …”
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FORECASTING OF PARAMETRIC RELIABILITY OF HYDRAULIC STEERING BOOSTER OF MOBILE MACHINE by G. A. Mrochek, V. P. Tarasik, T. V. Mrochek

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OTSENA AMPHIBIAN OF CONTROL MACHINES USING AFLOAT ON PERFORMANCE INDICATORS by O. A. Seryakov, S. S. Zinoviev, M. Ya. Manzin

“…Use a transition to relative valuation indicators of control (circulation diameter, the angular rotation speed) on the design and power parameters of the machine and its floating the propulsion, the dependence of which from each other is represented by a dimensionless handling chart. …”
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