MANUFACTURING ENGINEERING | |
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Technical Regulations and Metrological Support | |
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Denysenko, Y. O., Pop, G. M., Sushko V. V., Korniienko, A. O., Husar J. | |
Ensuring accurate characteristics of the pipe-piston installation | B1-B6 |
doi: 10.21272/jes.2022.9(2).b1 | |
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Majewski A., Merkisz-Guranowska A., Czarnota K. | |
Flow management of first-time orders: A dental office case study | B7-B16 |
doi: 10.21272/jes.2022.9(2).b2 | |
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Materials Science | |
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Javanbakht T. | |
Analysis of nanoparticles characteristics with TOPSIS for their manufacture optimization | C1-C8 |
doi: 10.21272/jes.2022.9(2).c1 | |
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Okwesileze I. A., Okafor O. C., Atanmo P. N., Ekengwu I. E., Uyaelumuo E. I. | |
Carburization-based optimization of AISI 8620 steel using rice husks and charcoal as carburizers | C9-C16 |
doi: 10.21272/jes.2022.9(2).c2 | |
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MECHANICAL ENGINEERING | |
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Dynamics and Strength of Machines | |
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Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Simonovskiy V., Pavlenko I. | |
Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach | D1-D5 |
doi: 10.21272/jes.2022.9(2).d1 | |
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Computational Mechanics | |
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Mbah O. M., Madueke C. I., Umunakwe R., Agba M. N. | |
Extreme gradient boosting: A machine learning technique for daily global solar radiation forecasting on tilted surfaces | E1-E6 |
doi: 10.21272/jes.2022.9(2).e1 | |
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Javanbakht T., Chakravorty S. | |
Optimization of machine learning algorithms for proteomic analysis using TOPSIS | E7-E11 |
doi: 10.21272/jes.2022.9(2).e2 | |
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Zahorulko A., Peczkis G., Sapozhnykov Y. | |
Numerical simulation of 2-way FSI problem of face packing seal: Impact of parameters change | E12-E27 |
doi: 10.21272/jes.2022.9(2).e3 | |
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Suprunenko M. K., Zborshchyk O. P., Sokolov O. | |
Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix | E28-E35 |
doi: 10.21272/jes.2022.9(2).e4 | |
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CHEMICAL ENGINEERING | |
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Processes in Machines and Devices | |
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Salahudeen N., Abubakar M. | |
Isotherm study of crystal violet on activated carbon synthesized from millet stover | F1-F5 |
doi: 10.21272/jes.2022.9(2).f1 | |
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Huliienko S. V., Korniyenko Y. , Muzyka S. M., Holubka K. | |
Simulation of reverse osmosis process: Novel approaches and development trends | F6-F36 |
doi: 10.21272/jes.2022.9(2).f2 | |
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Serdiuk V., Sklabinskyi V., Bolshanina S., Ochowiak M., Radchenko A., Babenko O., Kharchenko Y. | |
Regeneration of chromate galvanic solutions in membrane electrochemical devices | F37-F42 |
doi: 10.21272/jes.2022.9(2).f3 | |
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Energy Efficient Technologies | |
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Mbah O. M., Madueke C. I., Umunakwe R., Okafor C. O. | |
Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction | G1-G6 |
doi: 10.21272/jes.2022.9(2).g1 | |
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Environmental Protection | |
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Chernysh Y., Bataltsev Y., Shen X.-J., Bohdanovych O., Yakhnenko O. | |
Electro-fermentation for biopolymers production: Trends determination with bioinformatics data analysis | H1-H8 |
doi: 10.21272/jes.2022.9(2).h1 | |
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Ablieieva I. Yu., Plyatsuk L. D., Liu T., Berezhna I. O., Yanchenko I. O. | |
Decontamination of oil-polluted soils: Power of electronic bioinformatic databases | H9-H16 |
doi: 10.21272/jes.2022.9(2).h2 | |
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