Victor Sineglazov

According to our database, Victor Sineglazov authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Time Series Forecasting Using Recurrent Neural Networks Based on Recurrent Sigmoid Piecewise Linear Neurons.

Victor Sineglazov, Vladyslav Horbatiuk

Appl. Artif. Intell., December, 2025

Intelligent Hybrid Mobile Robotic Landmine Detection System.

Victor Sineglazov, Kyrylo Lesohorskyi

Proceedings of the 2nd International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2025), 2025

Multicriteria structural-parametric synthesis of optimal hybrid CNN structure for image processing⋆.

Illia Boryndo, Victor Sineglazov

Proceedings of the 2nd International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2025), 2025

Intelligent Landmine Detection with Unmanned Aerial Vehicle Mounted Thermal Camera.

Victor Sineglazov, Kyrylo Lesohorskyi

Proceedings of The Eighth International Workshop on Computer Modeling and Intelligent Systems, 2025

2024

Efficient Small and Overlapping Target Detection in Underwater Images.

Victor Sineglazov, Mykhailo Savchenko, Volodymyr Lytvynenko

Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, 2024

Intelligent Hyperspectral Image Processing for Landmine Detection and Classification.

Viktor Sineglazov, Kyrylo Lesohorskyi, Volodymyr Lytvynenko

Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, 2024

Generation of camouflage based on the use of generative-competitive neural networks.

Victor Sineglazov, Michael Zgurovsky, Dmytro Nikulin, Kyrylo Lesohorskyi

Proceedings of the 4th International Workshop on Information Technologies: Theoretical and Applied Problems 2024, 2024

Semi-supervised learning for hyperspectral landmine detection.

Victor Sineglazov, Volodymyr Lytvynenko, Kyrylo Lesohorskyi

Proceedings of the 4th International Workshop on Information Technologies: Theoretical and Applied Problems 2024, 2024

Optimal Size Reduction Methodology for Yolo-based Underwater Object Detectors Based on Knowledge Distillation.

Victor Sineglazov, Mykhailo Savchenko, Michael Zgurovsky

Proceedings of the Selected Papers of the XI International Scientific Conference "Information Technology and Implementation" (IT&I 2024). Conference Proceedings, 2024

Hyperspectral Image Classification for Landmine Detection.

Victor Sineglazov, Oleksii Shabo

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2, 2024

Airborne Mine Detection Using Synthetic Aperture Radar.

Victor Sineglazov, Kyrylo Lesohorskyi

Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2, 2024

Modified Poisson label propagation graph-based method with regularization for task of classification intersection dataset.

Michael Z. Zgurovsky, Victor Sineglazov, Alexander Ruchkin

Proceedings of the Computational Intelligence Application Workshop (CIAW 2024), 2024

Semi-supervised learning for medical images segmentation using 4D atlas priors.

Volodymyr Lytvynenko, Victor Sineglazov, Kirill Riazanovskiy, Olena Chumachenko

Proceedings of the Computational Intelligence Application Workshop (CIAW 2024), 2024

2023

Accuracy Improvement of Neural Networks Under Semi-Supervised Learning.

Viktor Sineglazov, Olena Chumachenko, Kyrylo Lesohorskyi

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022

Intelligent tuberculosis activity assessment system based on an ensemble of neural networks.

Victor Sineglazov, Kirill Riazanovskiy, Alexander Klanovets, Elena Chumachenko, Nikolai Linnik

Comput. Biol. Medicine, 2022

2021

Artificial Intelligence Systems Based on Hybrid Neural Networks - Theory and Applications

Michael Z. Zgurovsky, Victor Sineglazov, Elena Chumachenko

Studies in Computational Intelligence 904, Springer, ISBN: 978-3-030-48452-1, 2021