Навчальні посібники і монографії:
- Skarga-Bandurova I. A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection / I. Skarga-Bandurova, T. Biloborodova, I. Skarha-Bandurov, Y. Boltov, M. Derkach // pHealth 2021: Studies in Health Technology and Informatics (Eds. B. Blobel and M. Giacomini). – IOS Press, 2021. – P. 147-152.
- Skarga-Bandurova I., Biloborodova T., Foundations of Data Science for IoT and IoE (2019) in Internet of Things for Industry and Human Applications. Volume 1. Fundamentals and Technologies. Data Science for IoT and IoE. Section 5. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, 608 p., pp. 206-235.
- Skarga-Bandurova I., Biloborodova T., Data Mining and Processing for IoT and IoE (2019) in Internet of Things for Industry and Human Applications. Volume 1. Fundamentals and Technologies. Data Science for IoT and IoE. Section 6. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, 608 p., pp. 236-267.
- Skarga-Bandurova I., Nesterov M., Velykzhanin A., Algorithms and Applications for Utilization of SDN Technology to IoT (2019) in Internet of Things for Industry and Human Applications. Volume 2. Modelling and Development. Software Defined Networks and IoT. Section 22./ Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 194-240.
- Skarga-Bandurova I., Velykzhanin A., Basic concepts and approaches to development and implementation of IoT (2019) in Internet of Things for Industry and Human Applications. Volume 2. Modelling and Development. Development and implementation of IoT based systems. Section 28. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 403-435.
- Skarga-Bandurova I., Derkach M. Iot For Public Transport Information Service Delivering (2019) in Internet of Things for Industry and Human Applications. Volume 3. Assessment and Implementation. Intelligent Transportation Systems and IoT. Section 41. / Ed. V. S. Kharchenko.– Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 373-401.
- Skarga-Bandurova I., Biloborodova T., Wearable and Embedded IoT-based Solutions for Biomedical Applications (2019) in Internet of Things for Industry and Human Applications. Volume 3. Assessment and Implementation. IoT for Healthcare systems. Section 46. / Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 535-575.
- Skarga-Bandurova I., Biloborodova T., Devices with Reconfigurable Architecture for Biomedical IoT-based Applications (2019) in Internet of Things for Industry and Human Applications. Volume 3. Assessment and Implementation. IoT for Healthcare systems.Section 47./ Ed. V. S. Kharchenko. – Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 576-596.
- Skarga-Bandurova I., Krytska Y. IoT based Water Quality Monitoring System (2019) in Internet of Things for Industry and Human Applications. Volume 3. Assessment and Implementation. IoT for Ecology, Safety and Security Monitoring Systems. Section 49. / Ed. V. S. Kharchenko.– Ministry of Education and Science of Ukraine, National Aerospace University KhAI, 2019, pp. 627-671.
- Skarga-Bandurova I., Derkach M., Velykzhanin A. A Framework for Real-Time Public Transport Information Acquisition and Arrival Time Prediction Based on GPS Data. Chapter 19. In Dependable IoT for Human and Industry: Modeling, Architecting, Implementation (Eds. V. Kharchenko, Ah L. Kor, A. Rucinski), 2018. pp. 411-431. (Web of Science)
Cтатті Scopus:
- G Khoroshun, A Popiołek-Masajada, A Riazantsev, O Riazantsev, Expert system to the image quality assessment in diffraction problem with linearly polarized beam, Book series “Communications in Computer and Information Science”, Poland, 2024
- Болтов Є. В., Скарга-Бандурова І.С., Деркач М.В., A Comparative Analysis of Deep Learning-based Object Detectors for Embedded Systems, IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). – Dortmund, Germany, 2023. – pp. 1156-1160,
- Albert Ferrando, Agnieszka Popiołek-Masajada, Jan Masajada, Raman Markevich, and Anna Khoroshun, “Vortex-antivortex pair control in quadrupole Gaussian beams,” Opt. Express 31, 23444-23458 (2023)
- Tetiana Biloborodova, Semen Lomakin, Inna Skarga-Bandurova, and Yana Krytska. 2022. Region of Interest Identification in the Cervical Digital Histology Images. In Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings. Springer-Verlag, Berlin, Heidelberg, 133–145.
- M. Derkach, I. Skarga-Bandurova, D. Matiuk and N. Zagorodna, “Autonomous Quadrotor Flight Stabilisation Based on a Complementary Filter and a PID Controller,” 2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), Athens, Greece, 2022, pp. 1-7.
- Ryazantsev, O., Khoroshun, G., Riazantsev, A., & Strelkova, T. (2021). Informational Model of Optical Signals and Images in Machine Vision Systems. In Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 (pp. 163-186). IGI Global.
- Nedzelky D. A Load Factor and its Impact on the Performance of a Multicore System with Shared Memory / D. Nedzelky, M. Derkach, I. Skarga-Bandurova, L. Shumova, S. Safonova, V. Kardashuk // The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). – Cracow, Poland, 2021. – pp. 499-503.
- Bekshaev, A., Chernykh, A., Khoroshun, A., Masajada, J., Popiołek-Masajada, A., & Riazantsev, A. (2021). Controllable singular skeleton formation by means of the Kummer optical-vortex diffraction at a rectilinear phase step. Journal of Optics, 23(3), 034002.
- Khoroshun, G. (2021). The Fuzzy Logic for Machine Vision System Effectiveness Assessment. In COLINS (pp. 1806-1815).
- Biloborodova, T., Skarga-Bandurova, I., Berezhnyi, O., Nesterov, M., Skarha-Bandurov, I. (2020). Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson’s Disease. In: Rocha, Á., Ferrás, C., Montenegro Marin, C., Medina García, V. (eds) Information Technology and Systems. ICITS 2020. Advances in Intelligent Systems and Computing, vol 1137. Springer, Cham.
- Derkach M. Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors / M. Derkach, D. Matiuk, I. Skarga-Bandurova // IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT). – Kyiv, Ukraine, 2020. – pp. 236 – 241.
- Skarga-Bandurova I, Siriak R, Biloborodova T, Cuzzolin F, Bawa VS, Mohamed MI, Samuel RDJ. Surgical Hand Gesture Prediction for the Operating Room. Stud Health Technol Inform. 2020 Sep 4;273:97-103. doi: 10.3233/SHTI200621. PMID: 33087597.
- Povoroznyuk, A., Povoroznyuk, O., & Skarga-Bandurova, I. (2020). Application of a multiplicative model with linear partial descriptions in self-organization methods. In CEUR Workshop Proceedings (pp. 31-42).
- Filatova, A. E., Skarga-Bandurova, I., Brezhniev, E., & Fahs, M. (2020). Evaluating the Effectiveness of Electrocardiological Study Using Cardiological Decision Support Systems (Doctoral dissertation).
- Aleksandr Y. Bekshaev, Aleksandr I. Karamoch, Ganna M. Khoroshun, Oleksandr I. Ryazantsev*, Jan Masajada «Special features of a functional beam splitter: diffraction grating with groove bifurcation», Chapter in a book: Advances in Engineering Research, Volume 28, Nova Science publishers, New York, 2019, 85 pages.
- Skarga-Bandurova I., Biloborodova T., Nesterov M. Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia. Journal of Medical Systems. Santos M.F. et al. (Eds). Series: Artificial Intelligence in Medicine. (2019) 43:8. Springer US.
- I. Skarga-Bandurova, T. Biloborodova, I. Skarha-Bandurov, N. Zagorodna, L. Shumova EEG Data Fusion for Improving Accuracy of Binary Classification. ICT for Health Science Research A. Shabo (Shvo) et al. (Eds.) 2019. Vol. 258. pp. 130-134.
- I. Skarga-Bandurova, M. Nesterov, T. Biloborodova, G. Krivoulya, I. Kotsiuba, O. Biloborodov Data Fusion Technique to Predicting Database Performance Issues. 2019 IEEE 10th International Conference on Dependable Systems, Services and Technologies (DESSERT’2019), UK, Leeds, June 5-7, 2019. pр. 74-81.
- Y. Boltov, I. Skarga-Bandurova, I. Kotsiuba, M. Hrushka, G. Krivoulya, R. Siriak Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots. 2019 IEEE 10th International Conference on Dependable Systems, Services and Technologies (DESSERT’2019), UK, Leeds, June 5-7, 2019. pр. 218-222.
- D. Zubarev, I. Skarga-Bandurova, Cross-Site Scripting for Graphic Data: Vulnerabilities and Prevention. 2019 IEEE 10th International Conference on Dependable Systems, Services and Technologies (DESSERT’2019), UK, Leeds, June 5-7, 2019. pр. 154-160.
- M. Derkach, V. Lysak, I. Skarga-Bandurova, I. Kotsiuba, Parking Guide Service for Large Urban Areas. 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019. – IEEE, 2019, Vol. 1, pp. 567-571.
- R. Siriak, I. Skarga-Bandurova, Y. Boltov, Deep Convolutional Network with Long Short-Term Memory Layers for Dynamic Gesture Recognition 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019. – IEEE, 2019, Vol. 1, pp. 158-162.
- G. Krivulya, I. Skarga-Bandurova, Z.Tatarchrenko, O. Seredina, E. Shcherbakov, M.Shcherbakova, An Intelligent Functional Diagnostics of Wireless Sensor Network. 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- I. Skarga-Bandurova, Y. Krytska, M. Shorohov, O.Suvorin, L.Barbaruk, M. Ozheredova Towards Development IoT-based Water Quality Monitoring System 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- T. Biloborodova, I. Skarga-Bandurova, V. Derevyanchenko, I. Skarha-Bandurov, H. Tatarchenko, V. Mokhonko A Personal Mobile Sensing System for Motor Symptoms Assessment of Parkinson’s Disease 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- D. Nedzelskyi, M. Derkach, Ye. Tatarchenko, S. Safonova, L. Shumova, V. Kardashuk Research of Efficiency of Multi-Core Computers with Shared Memory 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- V. Lyashenko, O. Kobylin, O. Ryazantsev, I. Ryazantsev, V. Barbaruk, Ye. Zhychenko Wavelet Ideology and Morphological Operations for Analyzing RGB Images of Cytological Preparations 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- A. Riazantsev, O. Ryazantsev, G. Khoroshun, V. Ivanov, A. Baturin Statistical Optical Image Analysis for Information System 2019 IEEE 7th International Conference on Future Internet of Things and Cloud (FiCloud)
- I. Kotsiuba, I. Skarga-Bandurova, A. Giannakoulias, M. Chaikin, and A. Jevremovic Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure. 2019 IEEE International Conference on Big Data, December 9-12, 2019, Los Angeles, CA, USA, pp. 4265-4272.
- I. Kotsiuba, I. Skarga-Bandurova, A. Giannakoulias, O. Bulda Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks. 2019 IEEE International Conference on Big Data, December 9-12, 2019, Los Angeles, CA, USA, pp. 4255-4264.
- Skarga-Bandurova I., Biloborodova T., Dyachenko Yu. (2018) Strategy to Managing Mixed Datasets with Missing Items. In: Medina J. et al. (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science. Vol 854. pp 608-620. Springer, Cham.
- Dyachenko Yu., Soloviov O., Skarga-Bandurova I., Nenkov N., Petrova M. (2018) Approaches to Cognitive Architecture of Autonomous Intelligent Agent. Applied Optics. Biologically Inspired Cognitive Architectures. Vol. 26. pp. 130-135.
- Nesterov M., Skarga-Bandurova I. Troubleshooting and Performance Methodology for Business Critical Systems. The 9th IEEE International Conference on Dependable Systems, Services and Technologies (DESSERT’2018) ) р. 551-555.
- Skarga-Bandurova I., Derkach M. The Information Service for Delivering Public Transport Prediction. The 4th IEEE International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems. 20-21 September, 2018, Lviv, Ukraine. pp. 191-195.
- Kotsiuba I., Skarga-Bandurova I., Velykzhanin A., Dyachenko Yu., Yanovich Yu., Zhygulin V. (2018) Decentralized e-Health Architecture for Boosting Healthcare Analytics. World Conference WS4. Smart Trends in Systems, Security and Sustainability 2018, London, UK, 30 – 31 October, 2018.
- Zubariev D., Skarga-Bandurova I. (2018) Analysis of the Efficiency of CNN Learning Based on Teacher-Student Training with Untrained Image Dataset. Herald of the National Technical University “KhPI”. Subject issue: Information Science and Modelling. – Kharkov: NTU “KhPI”. – No. 42 (1318), pages 188-187, 2018.
- Kotsiuba I., Nesterov M., Yanovich Yu., Skarga-Bandurova I., Biloborodova T., Zhygulin V. (2018) Multi-Database Monitoring Tool for the E-Health Services. IEEE Big Data 2018 – 1th Special Session on HealthCare Data, December 10-13, 2018, Seattle, WA, USA. pp. 2441-2447.
- Kotsiuba I., Skarga-Bandurova I., Velykzhanin A., Biloborodova T., Biloborodov O., Yu. Yanovich, Zhygulin V. (2018) Blockchain Evolution: from Bitcoin to Forensic in Smart Grids. IEEE Big Data 2018 – The 2nd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention, December 10-13, 2018, Seattle, WA, USA. pp. 3099-3105.