Статьи

• Andrei Velichko, J. Alberto Conejero, Yuriy Izotov. Hybrid Deep Filtering with LogNNet: Complex Spectral Filters for Robust Speech Denoising [J]. Data Intelligence, 2026-03-20. 2026-03-22. https://www.sciengine.com/doi/10.3724/2096-7004.di.2026.0058. (Web of Science, Scopus)
• Shams M.. Finite-Time Contractivity Profiling of a Two-Parameter Parallel Root-Finding Scheme via a kNN–LLE Proxy [Electronic resource] / M.. Shams, A.A. Velichko, B.. Carpentieri // Mathematics. - Basel, Switzerland, 2026. - vol.14, N5. - P.879. - URL: https://doi.org/10.3390/math14050879. - ISSN 2227-7390. (Web of Science, Scopus, РИНЦ)
• Huyut M.. Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation [Text] / M.. Huyut, A.A. Velichko, M.A. Belyaev, Yu.A. Izotov, M.. Tosun, B.. Sertogullarindan, S.. Karaoglanoglu, A.. Demir, D.Zh. Korzun // Artificial Intelligence in Medicine. - Амстердам, 2026. - vol.172. - P.1-20. - URL: https://www.sciencedirect.com/science/article/abs/pii/S0933365725002726. - ISSN 0933-3657. (Web of Science, Scopus, РИНЦ)
• Avci V.. A Novel Biomarker-Based Decision Support System for Pediatric Appendicitis Diagnosis: A Comparative Study of Ensemble Models Algorithms [Text] / V.. Avci, M.. Huyut, A.A. Velichko, M.A. Belyaev // Innovation and Research in BioMedical engineering. - New York, 2026. - vol.47, №.1. - P.100921. - URL: https://www.sciencedirect.com/science/article/abs/pii/S1959031825000466. - ISSN 1959-0318. (Web of Science, Scopus, РИНЦ)
• Ковин А.М. Классификация отчетов GitHub с использованием резервуарной нейронной сети LogNNet [Текст] / А.М. Ковин, Е.Е. Ивашко, Ю.А. Изотов, А.А. Величко // Программные продукты и системы. - Тверь, 2025. - Т.38, №.3. - С.475-483. - Режим доступа: https://www.swsys.ru/index.php?page=article&id=5189. - ISSN 0236-235X. (ВАК, RSCI, РИНЦ)
• Velichko A.A. A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learning [Text] / A.A. Velichko, M.A. Belyaev, P.P. Boriskov // Chaos. - USA, 2025. - vol.35, N10. - P.101101. - URL: https://doi.org/10.1063/5.0289352. (Web of Science, Scopus, РИНЦ)
• Huyut M.. Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms [Electronic resource] / M.. Huyut, A.A. Velichko, M.A. Belyaev, Yu.A. Izotov, S.. Karaoglanoglu, B.. Sertogullarindan, S.. Keskin, D.Zh. Korzun // Scientific reports. - London, 2025. - vol.15, №.1. - P.1-20. - URL: https://www.nature.com/articles/s41598-025-00274-1. - ISSN 20452322. (Scopus, РИНЦ, Web of Science)
• Huyut M.. Corrigendum to “LogNNet model as a fast, simple and economical AI instrument in the diagnosis and prognosis of COVID-19 [Electronic resource] / M.. Huyut, A.A. Velichko // MethodsX. - Netherlands, 2025. - vol.14, N103103. - P.1. - URL: https://www.sciencedirect.com/science/article/pii/S2215016124005545. - ISSN 2215-0161. (Web of Science, Scopus)
• Borisenkov, M. F., Velichko, A. A., Belyaev, M. A., & Korzun, D. G. (2025). The potential of using actimetry to identify objective markers of depression. Biological Rhythm Research, 1–8. https://doi.org/10.1080/09291016.2025.2478925 (Scopus, Web of Science, РИНЦ)
• Pham V.. A compact structure for triple-memristor maps with a hyperplane of fixed points [Electronic resource] / V.. Pham, J.M. Munoz-Pacheco, A.A. Velichko, S.. Boulaaras, S.. Momani // Integration. - Netherlands, 2025. - vol.101, N102334. - P.1-7. - URL: https://www.sciencedirect.com/science/article/abs/pii/S0167926024001986?via%3Dihub. - ISSN 0167-9260. (ВАК, Scopus, РИНЦ)
• Борисков П.П. Entropy-statistical approach to phase-locking detection of oscillations [Text] / П.П. Борисков, А.А. Величко, К.Г. Пельтонен, В.В. Путролайнен // Frontiers of Information Technology & Electronic Engineering. - Hangzhou, China, 2025. - vol.26. - P.2688–2702. - URL: https://link.springer.com/article/10.1631/FITEE.2500402. - ISSN 2095-9184. (Web of Science, Scopus, РИНЦ)
• Irewola Aaron Oludehinwa, Andrei Velichko, Olasunkanmi Isaac Olusola, Olawale Segun Bolaji, Norbert Marwan, Babalola Olasupo Ogunsua, Abdullahi Ndzi Njah, and Timothy Oluwaseyi Ologun / Ionospheric chaos in the solar quiet current due to sudden stratospheric warming events across the European and African sectors / July 2025 Nonlinear Processes in Geophysics 32(3):225-242 DOI: 10.5194/npg-32-225-2025 (Scopus, Web of Science, РИНЦ)
• Изотов Ю.А. Обнаружение и классификация неисправностей на воздушных линиях электропередачи с использованием нейронной сети LogNNet [Текст] / Ю.А. Изотов, А.А. Тихомиров, А.А. Величко // Приборы. - Москва, 2024. - Вып.7. - С.7-13. - Режим доступа: https://www.pribory-smi.ru/. (ВАК, РИНЦ)
• Conejero, J.A.; Velichko, A.; Garibo-i-Orts, O.; Izotov, Y.; Pham, V.-T. Exploring the Entropy-Based Classification of Time Series Using Visibility Graphs from Chaotic Maps. Mathematics 2024, 12, 938. https://doi.org/10.3390/math12070938 (Web of Science, Scopus)
• Huyut M.. Detection of Right Ventricular Dysfunction Using LogNNet Neural Network Model Based on Pulmonary Embolism Data Set [Text] / M.. Huyut, А.А. Величко, М.А. Беляев, S.. Karaoglanoglu, B.. Sertogullarindan, A.. Demir // Eastern Journal of Medicine. - Van, Turkey, 2024. - vol.29, N1. - P.118-128. - URL: https://eastjmed.org/jvi.aspx?un=EJM-54775&volume=. - ISSN 1301-0883. (Scopus)
• Velichko, A.; Boriskov, P.; Belyaev, M.; Putrolaynen, V. A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science. Sensors 2023, 23, 7137. https://doi.org/10.3390/s23167137 (Web of Science, Scopus)
• Viet-Thanh Pham, Andrei Velichko, Van Van Huynh, Antonio Vincenzo Radogna, Giuseppe Grassi, Salah Mahmoud Boulaaras, Shaher Momani // Analysis of memristive maps with asymmetry, Integration, 2023,102110, V94, ISSN 0167-9260, https://doi.org/10.1016/j.vlsi.2023.102110 (Web of Science, Scopus)
• Belyaev M.A. Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson’s Disease [Text] / M.A. Belyaev, M.. Murugappan, A.A. Velichko, D.Zh. Korzun // Sensors. - Basel, Switzerland, 2023. - vol.23, N20. - P.1-20. - URL: https://www.mdpi.com/1424-8220/23/20/8609. - ISSN 1424-8220. (Web of Science, Scopus)
• Oludehinwa, I. A., Velichko, A., Ogunsua, B. O., Olusola, O. I., & Odeyemi, O. O. (2023). Dynamical complexity transitions during High-Intensity Long Duration Continuous Auroral Activities (HILDCAA) events: Feature analysis based on Neural Network Entropy. Space Weather, 21, e2023SW003475. https://doi.org/10.1029/2023SW003475 (Web of Science, Scopus)
• Velichko, A.; Belyaev, M.; Izotov, Y.; Murugappan, M.; Heidari, H. Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms 2023, 16, 255. https://doi.org/10.3390/a16050255 (Web of Science, Scopus)