Vladimir Golovko

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).

Machine Learning for the Efficient Control of a Multi-Wheeled Mobile Robot

Uladzimir Dziomin, Vladimir Golovko, 2013 .

A Multi-agent Efficient Control System for a Production Mobile Robot

Ralf Stetter, Uladzimir Dziomin, Anton Kabysh, 2014 .

Neural Network Approach for Semantic Coding of Words

Anatoliy Sachenko, Vladimir Golovko, Alexander Kroshchanka, 2019, ISDMCI.

TOWARDS AUTOMATIC EPILEPTIC SEIZURE DETECTION IN EEGS BASED ON NEURAL NETWORKS AND LARGEST LYAPUNOV EXPONENT

Vladimir Golovko, Svetlana Artsiomenka, Volha Kisten, 2014 .

Parallel Deep Neural Network for Detecting Computer Attacks in Information Telecommunication Systems

Anatoliy Sachenko, Vladimir Golovko, Myroslav Komar, 2018, 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO).

An intelligent approach to design of Schedule System for the Call Service Center

Vladimir Golovko, Alesia Hrechka, 2013 .

Some Aspects of Neural Network Approach for Intrusion Detection

Vladimir Golovko, Pavel Kochurko, 2005 .

Intrusion Detection in TCP/IP Networks Using Immune Systems Paradigm and Neural Network Detectors

Vladimir Golovko, Leanid U. Vaitsekhovich, V. Golovko, 2009 .

Sensors signal processing using neural networks

Lucio Grandinetti, Volodymyr Turchenko, Volodymyr Kochan, 1999, 1999 IEEE Africon. 5th Africon Conference in Africa (Cat. No.99CH36342).

Principles of neural network artificial immune system design to detect attacks on computers

Vladimir Golovko, Myroslav Komar, Anatoly Sachenko, 2010, 2010 International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).

Deep Convolutional Neural Network for Detection of Solar Panels

Anatoliy Sachenko, Vladimir Golovko, Alexander Kroshchanka, 2021 .

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).

Deep learning classifier based on NPCA and orthogonal feature selection

Uladzimir Dziomin, Vladimir Golovko, Stanisław Jankowski, 2016, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).