Patrik Kamencay

According to our database, Patrik Kamencay authored at least 30 papers between 2011 and 2024.

Collaborative distances:

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

2024

Enhancing 3D Models with Spectral Imaging for Surface Reflectivity.

Adam Stech, Patrik Kamencay, Róbert Hudec

Sensors, October, 2024

Automated Method for Intracranial Aneurysm Classification Using Deep Learning.

Roberta Hlavata, Patrik Kamencay, Martina Radilova, Peter Sykora, Róbert Hudec

Sensors, July, 2024

Sensors Data Processing Using Machine Learning.

Patrik Kamencay, Peter Hockicko, Róbert Hudec

Sensors, March, 2024

Contribution to the Investigation of Infrastructure Readiness in Terms of Cooperative, Connected and Automated Mobility Localization.

Marcel Simeonov, Patrik Kamencay, Milan Dado, Lukás Duris, Michal Vesclovský

Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024

The Comparison of Neural Networks for Contactless BPM Estimation.

Jana Sturekova, Patrik Kamencay, Roberta Hlavata

Proceedings of the 34th International Conference Radioelektronika, 2024

Comparative Analysis of 3D Object Scanning Devices for Scientific Applications.

Adam Stech, Róbert Hudec, Patrik Kamencay, Ladislav Polak, Arvind Dhaka

Proceedings of the 34th International Conference Radioelektronika, 2024

Server Implementation Design for Adaptive 3D Video Streaming.

Oleh Kryvoshei, Patrik Kamencay, Adam Stech

Proceedings of the 34th International Conference Radioelektronika, 2024

Recognition of Abnormal Behavior from a Thermal Camera using Deep Learning.

Roberta Hlavata, Patrik Kamencay, Peter Sykora, Róbert Hudec, Jana Sturekova

Proceedings of the 34th International Conference Radioelektronika, 2024

Recognition of Dangerous Objects using Deep Learning.

Roberta Hlavata, Patrik Kamencay, Peter Sykora, Róbert Hudec, Martina Radilova

Proceedings of the 34th International Conference Radioelektronika, 2024

2023

A New Deep-Learning Method for Human Activity Recognition.

Roberta Vrskova, Patrik Kamencay, Róbert Hudec, Peter Sykora

Sensors, March, 2023

Neural-Network-Optimized Vehicle Classification Using Clustered Image and Fiber-Sensor Datasets.

Patrik Kamencay, Miroslav Markovic, Jozef Dubovan, Milan Dado, Daniel Benedikovic

IEEE Access, 2023

A Novel Method for 3D Photogrammetry Modeling using Different Wavelengths.

Adam Stech, Róbert Hudec, Patrik Kamencay, Ladislav Polak, Jan Kufa

Proceedings of the 33rd International Conference Radioelektronika, 2023

Experimental Comparison of 4G and 5G Technologies for Connected and Automated Vehicles.

Boris Cucor, Patrik Kamencay, Milan Dado, Tibor Petrov

Proceedings of the 33rd International Conference Radioelektronika, 2023

2022

A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture.

Roberta Vrskova, Róbert Hudec, Patrik Kamencay, Peter Sykora

Sensors, 2022

An Improved IoT-Based System for Detecting the Number of People and Their Distribution in a Classroom.

Slavomir Matuska, Juraj Machaj, Róbert Hudec, Patrik Kamencay

Sensors, 2022

Physical and Digital Infrastructure Readiness Index for Connected and Automated Vehicles.

Boris Cucor, Tibor Petrov, Patrik Kamencay, Ghadir Pourhashem, Milan Dado

Sensors, 2022

2021

A Smart IoT System for Detecting the Position of a Lying Person Using a Novel Textile Pressure Sensor.

Róbert Hudec, Slavomir Matuska, Patrik Kamencay, Miroslav Benco

Sensors, 2021

Hyperparameter Tuning of ConvLSTM Network Models.

Roberta Vrskova, Peter Sykora, Patrik Kamencay, Róbert Hudec, Roman Radil

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

2020

Vehicle Classification Based on FBG Sensor Arrays Using Neural Networks.

Michal Frniak, Miroslav Markovic, Patrik Kamencay, Jozef Dubovan, Miroslav Benco, Milan Dado

Sensors, 2020

Tool for Optimizing Webpages on a Mobile Phone.

Martina Radilova, Patrik Kamencay, Slavomir Matuska, Miroslav Benco, Róbert Hudec

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Innovative 3D Reconstruction Method based on Patch Based Technique using Neural Network.

Patrik Kamencay, Martina Radilova, Roman Radil, Miroslav Benco, Róbert Hudec, Roberta Vrskova

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

The Comparison of Color Texture Features Extraction based on 1D GLCM with Deep Learning Methods.

Miroslav Benco, Patrik Kamencay, Martina Radilova, Róbert Hudec, Martin Sinko

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2019

Improved Feature Point Algorithm for 3D Point Cloud Registration.

Patrik Kamencay, Martin Sinko, Róbert Hudec, Miroslav Benco, Roman Radil

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

2017

Vehicles Recognition Based on Point Cloud Representation.

Patrik Kamencay, Róbert Hudec, Richard Orjesek, Peter Sykora

Proceedings of the Intelligent Transport Systems - From Research and Development to the Market Uptake, 2017

2014

3D image reconstruction from 2D CT slices.

Patrik Kamencay, Martina Zachariasova, Róbert Hudec, Miroslav Benco, Roman Radil

Proceedings of the 3DTV-Conference 2014: The True Vision, 2014

2013

A new approach to short web document creation based on textual and visual information.

Martina Zachariasova, Patrik Kamencay, Róbert Hudec, Miroslav Benco, Slavomir Matuska

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Feature extraction for object recognition using PCA-KNN with application to medical image analysis.

Patrik Kamencay, Róbert Hudec, Miroslav Benco, Martina Zachariasova

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

2012

Automatic extraction of non-textual information in web document and their classification.

Martina Zachariasova, Róbert Hudec, Miroslav Benco, Patrik Kamencay

Proceedings of the 35th International Conference on Telecommunications and Signal Processing, 2012

Improved face recognition method based on segmentation algorithm using SIFT-PCA.

Patrik Kamencay, Martin Breznan, Dominik Jelsovka, Martina Zachariasova

Proceedings of the 35th International Conference on Telecommunications and Signal Processing, 2012

2011

Depth map computation using hybrid segmentation algorithm.

Patrik Kamencay, Martin Breznan, Roman Jarina, Peter Lukac

Proceedings of the 34th International Conference on Telecommunications and Signal Processing (TSP 2011), 2011