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RESEARCH PAPER · Eastern-European Journal of Enterprise Technologies · 2018

Development of machine learning method of titanium alloy properties identification in additive technologies

Roman Tkachenko, Zoia Duriagina, Ihor Lemishka, Ivan Izonin, А.М. Trostianchyn

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Development of machine learning method of titanium alloy properties identification in additive technologiesOriginalHybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension30The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production70The research and experimental analysis of machine learning methods in e-commerce tasks0Optimized Filling of a Given Cuboid with Spherical Powders for Additive Manufacturing42Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection32Towards an Intelligent Decision Making of Ti-based Powders Selection for Medical Manufacturing6A Comparison of Machine Learning Algorithms for Prediction Higher Education Institution’s Entrants Admissions2Microstructure and dislocation hardening mechanism of VT8 alloy0Sm-Co ALLOYS COERCIVITY PREDICTION USING STACKING HETEROGENEOUS ENSEMBLE MODEL83D Scanning/Printing: A Technological Stride in Sculpture31Influence of oxygen content in medium carbon steel on bending fatigue strength7Requirements for Metal and Alloy Powders for 3D Printing (Review)22ПОРІВНЯЛЬНИЙ АНАЛІЗ КОРОЗІЇ В КИСЛОТАХ ІКОСАЕДРИЧНИХ І ДЕКАГОНАЛЬНИХ КВАЗІКРИСТАЛІВ У СПЛАВАХ НА ОСНОВІ Al1Machine learning guided alloy design of high-temperature NiTiHf shape memory alloys46A Biomedical Case Study Showing That Tuning Random Forests Can Fundamentally Change the Interpretation of Supervised Data Structure Exploration Aimed at Knowledge Discovery9Fast Heuristic for Particle Packing Problem0Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials11Designing Ti Alloy for Hard Tissue Implants: A Machine Learning Approach13Physical-and-chemical processes at the interfaces of (Cu–Ni–Mn–Fe)/ (W–C) composites1Machine Learning Assisted Tensile Strength Prediction and Optimization of Ti Alloy18An approach towards the development of an inclusive subject environment using additive manufacturing technologies2On the performance of expert-augmented machine learning with limited experimental data collected from powder particle characteristics used in laser powder bed fusion4AI Abuse: Investigating the Threat Landscape03D PRINTING FOR PHOTOGRAPHIC RELIEF SCULPTURES0

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24 direct citing papers saved.

  1. Hybridization of the SGTM Neural-Like Structure Through Inputs Polynomial Extension

    IEEE International Conference on Data Stream Mining & Processing (DSMP) · 2018-08-01

    Pavlo Vitynskyi, Roman Tkachenko, Ivan Izonin, Hakan Kutucu

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  2. The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production

    International Journal of Intelligent Systems and Applications · 2018-09-08

    Ivan Izonin, А.М. Trostianchyn, Zoia Duriagina, Roman Tkachenko, Tetiana Tepla, Nataliia Lotoshynska

    Read original paper ↗ ·

  3. The research and experimental analysis of machine learning methods in e-commerce tasks

    Scientific Papers (Ukrainian Academy of Printing) · 2019-01-01

    Pavlo Vitynskyi, Roman Tkachenko, B. M. Havrysh

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  4. Optimized Filling of a Given Cuboid with Spherical Powders for Additive Manufacturing

    Journal of the Operations Research Society of China · 2020-08-11

    Zoia Duriagina, Ihor Lemishka, Igor S. Litvinchev, José Antonio Marmolejo-Saucedo, Alexander Pankratov, Т. Romanova, Georgiy Yaskov

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  5. Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection

    Technologies · 2020-11-06

    Panagiotis Kantartopoulos, Nikolaos Pitropakis, Alexios Mylonas, Nicolas Kylilis

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  6. Towards an Intelligent Decision Making of Ti-based Powders Selection for Medical Manufacturing

    International Conference on Decision Aid Sciences and Application (DASA) · 2020-11-08

    Ivan Izonin, Tetiana Tepla, Dmytro Danylyuk, Roman Tkachenko, Zoia Duriagina, Ihor Lemishka

    Read original paper ↗ ·

  7. A Comparison of Machine Learning Algorithms for Prediction Higher Education Institution’s Entrants Admissions

    Lecture notes on data engineering and communications technologies · 2021-01-01

    Pavlo Zhezhnych, Khrystyna Zub, Олександр Березко, Anna Shilinh

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  8. Microstructure and dislocation hardening mechanism of VT8 alloy

    Metaloznavstvo ta obrobka metalìv · 2021-09-30

    Zoia Duriagina, Ihor Lemishka, O.S. Filimonov, А.М. Trostianchyn, V. V. Kulyk, Lidia Bohun

    Read original paper ↗ ·

  9. Sm-Co ALLOYS COERCIVITY PREDICTION USING STACKING HETEROGENEOUS ENSEMBLE MODEL

    Acta Metallurgica Slovaca · 2021-12-07

    А.М. Trostianchyn, Zoia Duriagina, Ivan Izonin, Roman Tkachenko, V. V. Kulyk, Olena Pavliuk

    Read original paper ↗ ·

  10. 3D Scanning/Printing: A Technological Stride in Sculpture

    Technologies · 2022-01-14

    G.-Fivos Sargentis, Evangelia I. Frangedaki, Michalis Chiotinis, Demetris Koutsoyiannis, Stephanos Camarinopoulos, Alexios Camarinopoulos, Nikos D. Lagaros

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  11. Influence of oxygen content in medium carbon steel on bending fatigue strength

    Engineering for Rural Development · 2022-05-25

    Tomasz Lipiński, Jacek Pietraszek, Anna WACH

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  12. Requirements for Metal and Alloy Powders for 3D Printing (Review)

    Powder Metallurgy and Metal Ceramics · 2022-07-01

    О. K. Radchenko, K. A. Gogaev

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  13. ПОРІВНЯЛЬНИЙ АНАЛІЗ КОРОЗІЇ В КИСЛОТАХ ІКОСАЕДРИЧНИХ І ДЕКАГОНАЛЬНИХ КВАЗІКРИСТАЛІВ У СПЛАВАХ НА ОСНОВІ Al

    Journal of Chemistry and Technologies · 2022-07-25

    Володимир А. Полонський, О. V. Sukhova, Володимир А. Іванов

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  14. Machine learning guided alloy design of high-temperature NiTiHf shape memory alloys

    Journal of Materials Science · 2022-10-17

    Udesh M. H. U. Kankanamge, Johannes Reiner, Xingjun Ma, Santiago Corujeira Gallo, Wei Ping Xu

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  15. A Biomedical Case Study Showing That Tuning Random Forests Can Fundamentally Change the Interpretation of Supervised Data Structure Exploration Aimed at Knowledge Discovery

    BioMedInformatics · 2022-10-18

    Jörn Lötsch, Benjamin Mayer

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  16. Fast Heuristic for Particle Packing Problem

    Lecture notes in networks and systems · 2023-01-01

    Т. Romanova, Y. E. Stoian, Andrii Chuhai, Georgiy Yaskov, Оксана Петрівна Мелащенко

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  17. Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials

    Materials · 2023-02-25

    Yashi Qiu, Zhaoying Wu, Jiali Wang, Chao Zhang, Heye Zhang

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  18. Designing Ti Alloy for Hard Tissue Implants: A Machine Learning Approach

    Journal of Materials Engineering and Performance · 2023-03-03

    A. C. Arun Raj, Shubhabrata Datta

    Read original paper ↗ ·

  19. Physical-and-chemical processes at the interfaces of (Cu–Ni–Mn–Fe)/ (W–C) composites

    Lithuanian Journal of Physics · 2023-04-06

    О. V. Sukhova

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  20. Machine Learning Assisted Tensile Strength Prediction and Optimization of Ti Alloy

    IEEE Access · 2024-01-01

    Jaka Fajar Fatriansyah, Muhamad Rafi Aqila, Iping Suhariadi, Andreas Federico, Dzaky Iman Ajiputro, Agrin Febrian Pradana, Yossi Andreano, Muhammad Ali Yafi Rizky, Donanta Dhaneswara, Zainovia Lockman, Su‐Mi Hur

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  21. An approach towards the development of an inclusive subject environment using additive manufacturing technologies

    International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2024-06-04

    Nataliia Lotoshynska, Solomiya Popova, Irianto Irianto, Jamil Abedalrahim Jamil Alsayaydeh

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  22. On the performance of expert-augmented machine learning with limited experimental data collected from powder particle characteristics used in laser powder bed fusion

    The International Journal of Advanced Manufacturing Technology · 2024-07-09

    Farima Liravi, Mahdi Habibnejad-Korayem, Ehsan Toyserkani

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  23. AI Abuse: Investigating the Threat Landscape

    Elsevier eBooks · 2024-08-30

    Nikolaos Pitropakis, Sokratis K. Katsikas, Costas Lambrinoudakis

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  24. 3D PRINTING FOR PHOTOGRAPHIC RELIEF SCULPTURES

    ShodhKosh Journal of Visual and Performing Arts · 2025-12-28

    Jenifer Patel, Shikha Gupta, Senthil Jayapalan, Sachin Pratap Singh, Anoop Dev, Aditi Ashish Deokar

    Read original paper ↗ ·
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