Peter Sykora

Peter Sykora

Žilinská univerzita v Žiline

H-index: 8

Europe-Slovakia

About Peter Sykora

Peter Sykora, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Žilinská univerzita v Žiline, specializes in the field of digital signal processing, pattern recognition, neural networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

A New Approach for Aneurysm Detection Based on CNNs

Automated Detection of Cerebral Aneurysms using Deep Learning Techniques

A New Method for Detection of Cerebral Aneurysm using Deep Learning

A new deep-learning method for human activity recognition

Body Part Classification from Medical Single Channel Images Using Deep Neural Networks

Recognition of human activity and abnormal behavior using deep neural network

The Intelligent System for Mask Detection using Deep Learning

A new approach for abnormal human activities recognition based on ConvLSTM architecture

Peter Sykora Information

University

Position

Department of Multimedia and Information-Communication Technology

Citations(all)

367

Citations(since 2020)

309

Cited By

130

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Žilinská univerzita v Žiline

Google Scholar

View Google Scholar Profile

Peter Sykora Skills & Research Interests

digital signal processing

pattern recognition

neural networks

Top articles of Peter Sykora

Title

Journal

Author(s)

Publication Date

A New Approach for Aneurysm Detection Based on CNNs

Roberta Hlavata

Patrik Kamencay

Peter Sýkora

Miroslav Benco

Robert Hudec

2023/9/11

Automated Detection of Cerebral Aneurysms using Deep Learning Techniques

Patrik Kamencay

Roberta Hlavata

Robert Hudec

Peter Sýkora

Miroslav Benco

2023/9/11

A New Method for Detection of Cerebral Aneurysm using Deep Learning

Patrik Kamencay

Roberta Hlavata

Robert Hudec

Peter Sykora

Miroslav Benco

2023/6/12

A new deep-learning method for human activity recognition

Sensors

Roberta Vrskova

Patrik Kamencay

Robert Hudec

Peter Sykora

2023/3/4

Body Part Classification from Medical Single Channel Images Using Deep Neural Networks

Peter Sýkora

Roberta Hlavata

Patrik Kamencay

Miroslav Benco

Robert Hudec

2023/9/11

Recognition of human activity and abnormal behavior using deep neural network

Roberta Vrskova

Robert Hudec

Patrik Kamencay

Peter Sykora

2022/5/23

The Intelligent System for Mask Detection using Deep Learning

Patrik Kamencay

Miroslav Benco

Robert Hudec

Peter Sykora

Martin Paralic

2022/5/23

A new approach for abnormal human activities recognition based on ConvLSTM architecture

Sensors

Roberta Vrskova

Robert Hudec

Patrik Kamencay

Peter Sykora

2022/4/12

Human activity classification using the 3DCNN architecture

Applied Sciences

Roberta Vrskova

Robert Hudec

Patrik Kamencay

Peter Sykora

2022/1/17

Convolutional Neural Network for Visual Artifacts Classification

Anna Holesova

Peter Sykora

Patrik Kamencay

Miroslav Uhrina

2022/5/23

Hyperparameter tuning of ConvLSTM network models

Roberta Vrskova

Peter Sykora

Patrik Kamencay

Robert Hudec

Roman Radil

2021/7/26

Education of video classification based by neural networks

Roberta Vrskova

Robert Hudec

Peter Sykora

Patrik Kamencay

Martina Radilova

2020/11/12

The influence of the proposed educational computer games on the development of various skills in children

A Holesova

P Sykora

D Ticha

2020/11/12

Violent Behavioral Activity Classification Using Artificial Neural Network

Roberta Vrskova

Robert Hudec

Peter Sykora

Patrik Kamencay

Miroslav Benco

2020/10/14

Comparison of convolutional neural network in Python environment on CPU and GPU

Peter Sykora

Martin Sinko

Roberta Vrskova

Patrik Kamencay

Robert Hudec

2020/5/25

Image Texture Analysis based on Color Level Methods using Neural Network

Miroslav Benco

Patrik Kamencay

Robert Hudec

Martina Radilova

Peter Sykora

2020/5/25

Comparison of Neural Networks with Feature Extraction Methods for Depth Map Classification

Advances in Military Technology

Peter Sykora

Patrik Kamencay

Robert Hudec

Miroslav Benco

Martin Sinko

2020/2/14

See List of Professors in Peter Sykora University(Žilinská univerzita v Žiline)

Co-Authors

H-index: 18
Robert Hudec

Robert Hudec

Žilinská univerzita v Žiline

H-index: 17
Patrik Kamencay

Patrik Kamencay

Žilinská univerzita v Žiline

H-index: 15
Miroslav Benco

Miroslav Benco

Žilinská univerzita v Žiline

H-index: 12
Mata Radilova

Mata Radilova

Žilinská univerzita v Žiline

H-index: 8
Roman Radil

Roman Radil

Žilinská univerzita v Žiline

H-index: 5
Jan Hlubik

Jan Hlubik

Žilinská univerzita v Žiline

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