| 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 | |
| |
| 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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