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ORCIDEugene Fedorov
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2020 – today
- 2024
[c39]Eugene Fedorov, Olga Nechyporenko, Yaroslav Korpan, Tetiana Neskorodieva:
Multi-Agent Reinforcement Learning Methods with Dynamic Parameters for Logistic Tasks. CMIS 2024: 36-47- [c38]Oleksii Smirnov, Eugene Fedorov, Anastasiia Neskorodieva, Tetiana Neskorodieva:
Intellectual Classification method of Gymnastic Elements Based on Combinations of Descriptive and Generative Approache. COLINS (1) 2024: 11-23 - [c37]Eugene Fedorov, Olga Nechyporenko, Oleg Grygor, Maryna M. Leshchenko:
Creation of Supply Chain Management Methods Based on Multi-Agent Systems and Metaheuristics. IntelITSIS 2024: 1-13 - [c36]Anait Karapetyan
, Eugene Fedorov, Irina Miroshkina, Olena Palahina, Alla Nesterenko:
Human Age Recognition Method Based on Facial Images Using an Ensemble of Neural Network Classifiers. ITEST (2) 2024: 143-155 - [c35]Eugene Fedorov, Vira Babenko, Artem Honcharov, Anatolii Chepynoha, Tatiana Utkina:
Neural Network Models for Approximation of One-Dimensional Signals. ITEST (2) 2024: 189-202 - 2023
- [c34]Eugene Fedorov, Olga Nechyporenko:
Linguistic Constructions Translation Method Based on Neural Networks. COLINS (2) 2023: 295-306 - [c33]Eugene Fedorov, Olga Nechyporenko, Maryna M. Leshchenko, Tetyana Utkina, Kostiantyn Rudakov, Nataliia Lada:
Adaptive Metaheuristic Methods Based on the Covid-19 Virus' Behavior and Measures for Fight It. IDDM 2023: 126-137 - [c32]Eugene Fedorov, Olga Nechyporenko, Tetiana Neskorodieva:
Method for Creating a Computer Agent Based on the Jordan-Elman Neural Network for Supply Chains. IntelITSIS 2023: 34-47 - [c31]Eugene Fedorov, Anait Karapetyan, Kostiantyn Rudakov, Anatolii Chepynoha:
Neural Network Control of the Mobile Robotic Platform's Adhesion Force. IntSol 2023: 89-100 - 2022
- [c30]Oleg Grygor, Eugene Fedorov, Olga Nechyporenko, Mykola Grygorian:
Neural Network Forecasting Method for Inventory Management in the Supply Chain. CMIS 2022: 14-27 - [c29]Emil Faure, Eugene Fedorov, Iryna Myronets, Svitlana Sysoienko:
Method for Generating Pseudorandom Sequence of Permutations Based on Linear Congruential Generator. CMIS 2022: 175-185 - [c28]Eugene Fedorov, Olga Nechyporenko:
Method for Recognizing Linguistic Constructions Based on Stochastic Neural Networks. COLINS 2022: 104-115 - [c27]Eugene E. Fedorov, Tetyana Utkina, Maryna M. Leshchenko, Olga Nechyporenko, Kostiantyn Rudakov:
The Intelligent Diagnosis Method of Covid-19 Based on the Lenet-Vit Deep Neural Network. IDDM 2022: 146-159 - [c26]Eugene Fedorov, Olga Nechyporenko:
Modeling of Negotiations Between Supply Chain Participants Based on a Multi-Agent System (keynote). IntelITSIS 2022: 33-43 - [c25]Iryna Makarenko, Eugene Fedorov, Yuliia Bondarenko, Yevhenii Bondarenko:
Intellectual Control of Mechanical Characteristics of Optical Products. ITEST 2022: 113-127 - [c24]Eugene Fedorov, Olga Nechyporenko:
Method of Dynamic Stock Buffer Management Based on a Connectionist Expert System. IT&I 2022: 30-41 - [c23]Eugene Fedorov, Olga Nechyporenko:
Methods for Solving the Traveling Salesman Problem Based on Reinforcement Learning and Metaheuristics. ITTAP 2022: 94-103 - [c22]Eugene E. Fedorov, Liubov O. Kibalnyk, Lesya O. Petkova, Maryna M. Leshchenko, Vladyslav M. Pasenko:
Fuzzy expert decision support system for foreign direct investment: a swarm metaheuristic approach. M3E2-MLPEED 2022: 47-60 - [c21]Anait Karapetyan, Eugene Fedorov, Oleksii Smirnov:
Creating Neural Network and Single Solution Human-Based Metaheuristic Methods of Solving the Traveling Salesman Problem. MoMLeT+DS 2022: 47-58 - 2021
- [c20]Tatiana Neskorodieva, Eugene Fedorov, Pavlo Rymar, Oleksii Smirnov:
Neural network modeling method of transformations data of audit production with returnable waste. CITRisk 2021: 176-191 - [c19]Eugene Fedorov, Olga Nechyporenko:
Long-Term Forecasting Method in the Supply Chain Based on an Artificial Neural Network with Multi-Agent Metaheuristic Training. CMIS 2021: 1-11 - [c18]Eugene Fedorov, Olga Nechyporenko:
Dynamic Stock Buffer Management Method Based on Linguistic Constructions. COLINS 2021: 1742-1753 - [c17]Tetiana Neskorodieva, Eugene Fedorov, Oleksii Smirnov, Kostiantyn Rudakov, Anastasiia Neskorodieva:
Method Detection Audit Data Anomalies on Basis Restricted Cauchy Machine. CPITS II (1) 2021: 1-12 - [c16]Eugene Fedorov, Jihed Draouil, Kostiantyn Rudakov, Hamza Alrababah, Tetyana Utkina, Ihor Zubko:
Method of Intelligent Diagnosis of Covid-19 Based on a Neural Network of Generalized Bell-Shaped Functions and Fuzzy Logic. IDDM 2021: 64-76 - [c15]Tatiana Neskorodieva, Eugene Fedorov:
Method for Automatic Processing of Audit Content Based on Bidirectional Neural Network Mapping. IntelITSIS 2021: 178-189 - [c14]Oleg Grygor, Eugene Fedorov, Olga Nechyporenko:
Forecast Method Based on the Time-Delay Mean Field Boltzmann Machine. IT&I 2021: 114-124 - 2020
- [c13]Eugene Fedorov, Tetyana Utkina, Kostiantyn Rudakov, Andriy Lukashenko, Ihor Zubko, Maryna Chychuzhko, Valentyna Lukashenko:
Speech vocal clustering methods. CMIS 2020: 1054-1066 - [c12]Eugene Fedorov, Olga Nechyporenko, Tetyana Utkina:
Forecast Method for Natural Language Constructions Based on a Modified Gated Recursive Block. COLINS 2020: 199-214 - [c11]Eugene Fedorov, Tetyana Utkina, Olga Nechyporenko, Yaroslav Korpan:
Speech Signal Structuring Method for Biometric Personality Identification. DSMP 2020: 6-11 - [c10]Eugene Fedorov, Tetyana Utkina, Olga Nechyporenko, Yaroslav Korpan:
Method of Speech Signal Structuring and Transforming for Biometric Personality Identification. DSMP (Selected Papers) 2020: 307-322 - [c9]Eugene Fedorov, Tetyana Utkina, Kostiantyn Rudakov, Andriy Lukashenko, Ihor Zubko, Michal Gregus ml.:
Processing Methods and ECG Signal Recognition Model. IDDM 2020: 82-93 - [c8]Tatiana Neskorodieva, Eugene Fedorov, Ivan Izonin:
Forecast Method for Audit Data Analysis by Modified Liquid State Machine. IntelITSIS 2020: 25-35 - [c7]Tatiana Neskorodieva, Eugene Fedorov:
Automatic Analysis Method of Audit Data Based on Neural Network Mapping. IT&I 2020: 60-70 - [c6]Peter Nikolyuk, Tatiana Neskorodieva, Eugene Fedorov, Esta Chioma:
Intellectual Algorithm Implementation for Megacity Traffic Management. IT&I Workshops 2020: 400-408 - [c5]Tatiana Neskorodieva, Eugene Fedorov:
Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast. MoMLeT+DS 2020: 145-158
2010 – 2019
- 2019
- [c4]Eugene Fedorov, Valentyna Lukashenko, Tetyana Utkina, Andriy Lukashenko, Kostiantyn Rudakov:
Method for Parametric Identification of Gaussian Mixture Model Based on Clonal Selection Algorithm. CMIS 2019: 41-55 - [c3]Eugene Fedorov, Tetyana Utkina, Kostiantyn Rudakov, Andriy Lukashenko, Serhii Mitsenko, Maryna Chychuzhko, Valentyna Lukashenko:
Digital Content Processing Method for Biometric Identification of Personality Based on Artificial Intelligence Approaches. CybHyg 2019: 736-747 - [c2]Eugene Fedorov, Tetyana Utkina, Kostiantyn Rudakov, Andriy Lukashenko, Serhii Mitsenko, Maryna Chychuzhko, Valentyna Lukashenko:
A Method for Extracting a Breast Image from a Mammogram Based on Binarization, Scaling and Segmentation. IDDM 2019: 84-98 - 2018
- [c1]Eugene Fedorov, Valentyna Lukashenko, Volodymyr Patrushev, Andriy Lukashenko, Kostiantyn Rudakov, Serhii Mitsenko:
The Method of Intelligent Image Processing Based on a Three-Channel Purely Convolutional Neural Network. IDDM 2018: 336-351
Coauthor Index
aka: Tetiana Neskorodieva
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