Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The paper examines a specific case of an «operator-machine-animal» biotechnological system employed in the context of machine milking operations. …”
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Effect of ultrasonic vibration-assisted milling on surface quality of carbon fiber reinforced polymer by Yukun Zhang, Junxue Ren, Jinhua Zhou

“…In addition, it was found that improper machining parameters may lead to increased damage. …”
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ECONOMIC-MATHEMATICAL MODELING OF FOUNDATION CONSTRUCTION TECHNOLOGY BY THE “WALL IN THE GROUND” METHOD by A. S. Kadyrov, B. K. Kurmasheva, I. V. Georgiadi

“…Dependencies are established in the research, which determine the correlation of the economic parameters of the drilling process (the cost of the machine, the wages of workers, the standard cost parameters) and the main parameters of the machines, namely power and speed.Results. …”
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EXPLORATORY RESEARCH APPLIED FOR THE PRIMARY ANALYSIS OF TECHNOLOGICAL PROCESSES by Remus Boboescu

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Multi-class fault diagnosis of BF based on global optimization LS-SVM by ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin

“…Aiming at the requirement of high speed and precision in blast furnace fault diagnosis systems, a new strategy based on global optimization least-squares support vector machines (LS-SVM) was proposed to solve this problem. …”
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Monitoring Sea Surface Temperature and Sea Surface Salinity Around the Maltese Islands Using Sentinel-2 Imagery and the Random Forest Algorithm by Gareth Craig Darmanin, Adam Gauci, Monica Giona Bucci, Alan Deidun

“…This demands the acquisition of precise and up-to-date information regarding several marine parameters. Thus, to gain a comprehensive understanding of these ecosystems, this study employs remote sensing techniques, Machine Learning algorithms and traditional in situ approaches. …”
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Research on the application of thermal field emission gun in electron beam lithography by Hao Xiaoliang, Zhao Yingwei, Sun Hu, Wang Xiuhai, Cao Jian, Ma Peisheng, Ren Zesheng

“…The classification and characteristics of electron gun are introduced, with emphasis on the principle, structure and characteristics of thermal field emission gun and its application in electron beam lithography machine. The relationship between the beam current of the electron beam lithography machine and the extractor current of the electron gun is described, and the influence of the parameters of the thermal field emission gun on the extractor current is analyzed. …”
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Natural tests of the brushed working body with combined type of blades by Grinchar N.G., Bykov A.Yu, Chalova M.Yu

“…The domestic industry produces a significant range of synthetic materials and products based on them, which makes it promising to increase the efficiency of brush working bodies by manufacturing flexible elements from synthetic materials and optimizing pick-up parameters. This article discusses the results of field tests of the brush pick-up of the KPU-1 machine.…”
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The influence of the mode of engine operation of transport and technological cars on the beating at the coupling piston-cylinder by Shtain G.V., Panfilov A.A.

“…The calculated data may be the initial parameters for the calibration of the program embedded in the electronic control unit of the transport and technological machine.…”
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Evaluation of connection pool <i>PgBouncer</i> efficiency for optimizing relational database computing resources by A. S. Boronnikov, P. S. Tsyngalev, V. G. Ilyin, T. A. Demenkova

“…The interpretation of the data obtained and the analysis of the results obtained by highlighting critical parameters are performed. On the basis of results analysis, conclusions and recommendations are formulated on the use of a connection balancer in real high-load installations for optimizing the resources utilized by the server on which the database management system (DBMS) is located. …”
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Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks by T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali

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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…New hydrological insights for the Region: From the results from physicochemical parameters, most of the samples are characterized as having an alkaline nature. …”
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The Development and Performance Assessment of Palm Kernel Nut Oil as a Cutting Fluid for the Turning of AA6061 by Omolayo M. Ikumapayi, Opeyeolu T. Laseinde, Rasaq A. Kazeem, Peter Onu, Tin T. Ting

“…This study focuses on investigating the manufacturing, characterization, and assessment of palm kernel nut oil as a cutting fluid (CF) in the machining of aluminium 6061 alloy. Cutting fluids are vital in machining operations as they reduce friction, dissipate heat, and prolong the lifespan of tools. …”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

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Advanced Non-Unit Protection Strategy for MMC-HVDC Grids Leveraging Two-Dimensional High-Frequency Characteristics via HHT and SVM by Chenglin Ren, Yige Hu, Xiang Lu, Yue Chen, Kepeng Xia, Hailin Li

“…This study introduces a non-unit protection scheme based on the classification of two-dimensional feature parameters utilizing the Hilbert–Huang transform (HHT) and a support vector machine (SVM). …”
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Performance assessment and optimization of Ti6Al4V helical hole milling process by Gururaj Bolar, Vikas Marakini, Raviraj Shetty, Sawan Shetty, Adithya Hegde

“…Therefore, the helical milling process was analyzed as an alternative for machining Ti6Al4V alloy in the present work. Using Analysis of Variance (ANOVA), the effects of helical milling parameters such as axial feed, cutting speed, and tangential feed on surface roughness (SR), cutting forces such as thrust force (TF) and radial force (RF), and machining temperature (MT) were investigated. …”
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Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network by NOOR FAZLIANA FADZAIL, Samila Mat Zali, Ernie Che Mid

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Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy by Zhi Zhang, Jianbao Gao, Shuaishuai Wei, Bo Song, Yonggang Yao, Xu Zheng, Yuanjie Zhang, Lei Zhang, Qiaojiao Li, Jiafeng Wu, Yusheng Shi

“…The relation between different parameters with mechanical and superelastic properties was established through machine learning, and multiple performance optimizations were carried out with vascular stents as typical application objectives. …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
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