A. Sachenko

发表

IoT Based Modular Grow Box System Using the AR

P. Bykovyy, D. Zahorodnia, Ivan Kit, 2020, 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T).

Increasing the Data Transmission Robustness in Wsn Using the Modified Error Correction Codes on Residue Number System

Anatoliy Sachenko, Hu Zhengbing, Vasyl Yatskiv, 2015 .

Matrix Stochastic Game with Q-learning for Multi-agent Systems

Anatoliy Sachenko, Vasyl Lytvyn, Victoria Vysotska, 2021, Advances in Computer Science for Engineering and Education IV.

Proactive Project Management as a Discrete Event System

Anatoliy Sachenko, Michael Dombrowski, Oleg Sachenko, 2020, 2020 IEEE European Technology and Engineering Management Summit (E-TEMS).

Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero.

A. Sachenko, L. Scislo, I. Skarga-Bandurova, 2021, Mathematical biosciences and engineering : MBE.

Assessing the Investment Risk of Virtual IT Company Based on Machine Learning

Anatoliy Sachenko, Hrystyna Lipyanina, Taras Lendyuk, 2020, DSMP.

Segmentation and identification of spectral and statistical textures for computer medical diagnostics in dermatology.

A. Sachenko, Xinlin Liu, Jacek Woloszyn, 2022, Mathematical biosciences and engineering : MBE.

Reliability and survivability models of integrated drone-based systems for post emergency monitoring of NPPs

Vyacheslav Kharchenko, Volodymyr Kochan, Anatoliy Sachenko, 2016, 2016 International Conference on Information and Digital Technologies (IDT).

DEEP MULTILAYER NEURAL NETWORK FOR PREDICTING THE WINNER OF FOOTBALL MATCHES

Anatoliy Sachenko, Sergei Bezobrazov, Oleksandr Osolinskyi, 2020, International Journal of Computing.

Concept of the Intelligent Guide with AR Support

Ivan Kit, A. Sachenko, Taras Lendiuk, 2022, International Journal of Computing.

Method of Creating the 3D Face Model of Character Based on Textures Maps Module

Anatoliy Sachenko, Pavlo Bykovyy, Denys Zolotukhin, 2019, Communications in Computer and Information Science.

A Shallow Convolutional Neural Network for Accurate Handwritten Digits Classification

Anatoliy Sachenko, Vladimir Golovko, Mikhno Egor, 2016, ICPR 2016.

Mobile Ad Hoc wireless network for pre- and post-emergency situations in nuclear power plant

Volodymyr Turchenko, Volodymyr Kochan, Robert E. Hiromoto, 2014, 2014 2nd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems.

Intelligent Information System for Product Promotion in Internet Market

S. Sachenko, Ivan Kit, A. Sachenko, 2023, Applied Sciences.

Implementation of SPR-Biosensors for Express-Diagnostics of Acute Viral Infection and Mycotocsicosis

A. Sachenko, V. Romanov, M. Starodub, 2007, 2007 IEEE International Workshop on Medical Measurement and Applications.

Flying Sensor and Edge Network-Based Advanced Air Mobility Systems: Reliability Analysis and Applications for Urban Monitoring

A. Sachenko, H. Fesenko, O. Illiashenko, 2023, Drones.

Approach to recognition of license plate numbers using neural networks

A. Sachenko, V. Koval, G. Markowsky, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Development of Solar Panels Detector

Anatoliy Sachenko, Vladimir Golovko, Alexander Kroshchanka, 2018, 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T).

Efficient Management of Material Resources in Low-Carbon Construction

A. Sachenko, O. Borysiak, V. Manzhula, 2024, Energies.

Automated video surveillance system based on hierarchical object identification

Anatoliy Sachenko, Viktor Krylov, Pavlo Bykovyy, 2018, 2018 International Conference on Development and Application Systems (DAS).

Compression of network traffic parameters for detecting cyber attacks based on deep learning

Anatoliy Sachenko, Vladimir Golovko, Myroslav Komar, 2018, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT).

Matrix Hyper-Basis Function Neural Network and Its Online Learning

Yevgeniy V. Bodyanskiy, A. Sachenko, O. Chala, 2023, 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).