Petr Dolezel

42 papers C 3Misc 1Journal 12Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring multi-scale convolutional neural network for modeling amorphous materials behavior: a comparative approach.
Log. J. IGPL
Marek Pakosta, Petr Dolezel, Roman Svoboda
2025 J jnl
Estimation of atmospheric visibility by deep learning model using multimodal dataset.
Knowl. Based Syst.
Jitka Kopecká, Dusan Kopecký, Dominik Stursa, Zuzana Rácová, Tomás Krejcí, Petr Dolezel
2024 — conf
Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications.
SOCO (2)
Dominik Stursa, Petr Dolezel, Bruno Baruque Zanon
2024 C conf
Classification of Degree of Degradation around Scribe for Coil-Coated Metallic Samples Using Convolutional Neural Models.
CoDIT
Pavel Rozsival, Petr Dolezel, Bruno Baruque Zanon, Dominik Stursa
2024 J jnl
Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe.
Frontiers Artif. Intell.
Dominik Stursa, Pavel Rozsival, Petr Dolezel
2024 J jnl
Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment.
Cybern. Syst.
Miroslav Dvorak, Petr Dolezel, Dominik Stursa, Mohamed Chouai
2024 J jnl
Memory Efficient Deep Learning-Based Grasping Point Detection of Nontrivial Objects for Robotic Bin Picking.
J. Intell. Robotic Syst.
Petr Dolezel, Dominik Stursa, Dusan Kopecký
2023 C conf
Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation Around Scribe.
CoDIT
Petr Dolezel, Veronika Rozsivalova, Marek Pakosta, Dominik Stursa
2023 J jnl
CSU-Net: Contour Semantic Segmentation Self-Enhancement for Human Head Detection.
IEEE Access
Mohamed Chouai, Petr Dolezel
2023 Misc conf
Comparison of Geospatial Trajectory Clustering and Feature Trajectory Clustering for Public Transportation Trip Data.
HAIS
Héctor Cogollos Adrián, Bruno Baruque Zanon, Santiago Porras Alfonso, Petr Dolezel
2023 — conf
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks.
IWANN (2)
Ondrej Rozinek, Petr Dolezel
2023 — conf
Employing Quantile and Probability Plots for Comparing and Assessing Goodness of Fit for Stochastic Models of the DCT Coefficients of Lossy Compressed Images.
RADIOELEKTRONIKA
Dmytro Kotov, Oleksii Fedorov, Anatolii Omelchenko, Jan Pidanic, Petr Dolezel
2023 — conf
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction.
SOCO (1)
Marek Pakosta, Petr Dolezel, Roman Svoboda, Bruno Baruque Zanon
2023 J jnl
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network.
Log. J. IGPL
Pavel Skrabánek, Petr Dolezel, Radomil Matousek
2022 J jnl
Centroid based person detection using pixelwise prediction of the position.
J. Comput. Sci.
Petr Dolezel, Pavel Skrabanek, Dominik Stursa, Bruno Baruque Zanon, Héctor Cogollos Adrián, Pavel Kryda
2022 — conf
Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum.
SOCO
Dominik Stursa, Dusan Kopecký, Jiri Rolecek, Petr Dolezel, Bruno Baruque Zanon
2022 J jnl
Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe.
Int. J. Comput. Intell. Syst.
Veronika Rozsivalova, Petr Dolezel, Dominik Stursa, Pavel Rozsival
2022 — conf
Spectral Classification of Microplastics using Neural Networks: Pilot Feasibility Study.
BIOSIGNALS
Petr Dolezel, Jiri Rolecek, Daniel Honc, Dominik Stursa, Bruno Baruque Zanon
2022 C conf
Suitable ASP U-Net training algorithms for grasping point detection of nontrivial objects.
CoDIT
Petr Dolezel, Dominik Stursa, Dusan Kopecký
2021 — conf
Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety.
SOCO
Mohamed Chouai, Mostefa Merah, José-Luis Sancho-Gómez, Petr Dolezel
2021 — conf
Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach.
SOCO
Miroslav Dvorak, Petr Dolezel, Dominik Stursa, Mohamed Chouai
2021 — conf
Medical Catheters Grasping Point Detection with Quality Control.
SOCO
Dominik Stursa, Petr Dolezel, Bruno Baruque Zanon
2021 J jnl
Memory Efficient Grasping Point Detection of Nontrivial Objects.
IEEE Access
Petr Dolezel, Dominik Stursa, Dusan Kopecký, Jiri Jecha
2021 J jnl
New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection.
Sensors
Mohamed Chouai, Petr Dolezel, Dominik Stursa, Zdenek Nemec
2020 — conf
Basic Urinal Flow Curves Classification with Proposed Solutions.
IntelliSys (1)
Dominik Stursa, Petr Dolezel, Daniel Honc
2020 — conf
Counting Livestock with Image Segmentation Neural Network.
SOCO
Petr Dolezel, Dominik Stursa, Daniel Honc, Jan Merta, Veronika Rozsivalova, Ladislav Beran, Ivo Hora
2020 — conf
Development of Artificial Intelligence Based Module to Industrial Network Protection System.
IntelliSys (3)
Filip Holík, Petr Dolezel, Jan Merta, Dominik Stursa
2020 — conf
Industrial Network Protection by SDN-Based IPS with AI.
ACIIDS (Companion)
Filip Holík, Petr Dolezel
2020 — conf
Novel Approach for Person Detection Based on Image Segmentation Neural Network.
SOCO
Dominik Stursa, Bruno Baruque Zanon, Petr Dolezel
2020 — conf
RGB Images Driven Recognition of Grapevine Varieties.
SOCO
Pavel Skrabánek, Petr Dolezel, Radomil Matousek, Petr Junek
2020 — conf
Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network.
ICSTCC
Petr Dolezel, Dominik Stursa, Daniel Honc
2019 — conf
Comparison Two of Different Technologies for Outdoor Positioning of Robotic Vehicles.
CSOC (1)
Miroslav Dvorak, Petr Dolezel
2019 — conf
On Possibilities of Human Head Detection for Person Flow Monitoring System.
IWANN (2)
Petr Dolezel, Dominik Stursa, Pavel Skrabanek
2018 — conf
An IoT Approach to Positioning of a Robotic Vehicle.
CSOS (1)
Miroslav Dvorak, Petr Dolezel
2018 — conf
Automatized Approach to Assessment of Degree of Delamination Around a Scribe.
IntelliSys (1)
Petr Dolezel, Pavel Rozsival, Veronika Rozsivalova, Jirí Tvrdík
2018 — conf
Fine Localization of Complex Components for Bin Picking.
IntelliSys (1)
Jirí Tvrdík, Petr Dolezel
2017 J jnl
Robust Grape Detector Based on SVMs and HOG Features.
Comput. Intell. Neurosci.
Pavel Skrabánek, Petr Dolezel
2016 — conf
Neural Network as a Tool for Detection of Wine Grapes.
CSOC (1)
Petr Dolezel, Pavel Skrabanek, Lumir Gago
2016 — conf
Pattern recognition neural network as a tool for pest birds detection.
SSCI
Petr Dolezel, Pavel Skrabanek, Lumir Gago
2015 — conf
Neural Networks and Linear Predictive Coding Coefficients Used for European Starling Detection in Vineyards.
SOCO
Petr Dolezel, Martin Mariska
2015 — conf
Shipping Schedule-Oriented Production Planning Using Genetic Algorithm.
ECC
Jana Heckenbergerova, Petr Dolezel
2008 — conf
Data Mining Service For Oaister Digital Library.
e-Learning
Petr Dolezel, Tomás Dulík