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ORCIDPetr Dolezel
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2020 – today
- 2024
[j9]Miroslav Dvorak, Petr Dolezel, Dominik Stursa, Mohamed Chouai:
Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment. Cybern. Syst. 55(6): 1314-1331 (2024)- [j8]Petr Dolezel
, Dominik Stursa, Dusan Kopecký:
Memory Efficient Deep Learning-Based Grasping Point Detection of Nontrivial Objects for Robotic Bin Picking. J. Intell. Robotic Syst. 110(3): 110 (2024) - [c30]Pavel Rozsival, Petr Dolezel, Bruno Baruque Zanon, Dominik Stursa:
Classification of Degree of Degradation around Scribe for Coil-Coated Metallic Samples Using Convolutional Neural Models. CoDIT 2024: 2216-2221 - [c29]Dominik Stursa, Petr Dolezel, Bruno Baruque Zanon:
Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications. SOCO (2) 2024: 82-92 - 2023
- [j7]Mohamed Chouai, Petr Dolezel:
CSU-Net: Contour Semantic Segmentation Self-Enhancement for Human Head Detection. IEEE Access 11: 987-999 (2023) - [j6]Pavel Skrabánek, Petr Dolezel, Radomil Matousek:
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network. Log. J. IGPL 31(4): 618-633 (2023) - [c28]Petr Dolezel, Veronika Rozsivalova, Marek Pakosta, Dominik Stursa:
Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation Around Scribe. CoDIT 2023: 1454-1458 - [c27]Héctor Cogollos Adrián, Bruno Baruque Zanon, Santiago Porras Alfonso, Petr Dolezel:
Comparison of Geospatial Trajectory Clustering and Feature Trajectory Clustering for Public Transportation Trip Data. HAIS 2023: 589-599 - [c26]Ondrej Rozinek, Petr Dolezel:
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks. IWANN (2) 2023: 352-363 - [c25]Dmytro Kotov, Oleksii Fedorov, Anatolii Omelchenko, Jan Pidanic, Petr Dolezel:
Employing Quantile and Probability Plots for Comparing and Assessing Goodness of Fit for Stochastic Models of the DCT Coefficients of Lossy Compressed Images. RADIOELEKTRONIKA 2023: 1-4 - [c24]Marek Pakosta, Petr Dolezel, Roman Svoboda, Bruno Baruque Zanon:
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction. SOCO (1) 2023: 24-33 - 2022
- [j5]Veronika Rozsivalova, Petr Dolezel, Dominik Stursa, Pavel Rozsival:
Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe. Int. J. Comput. Intell. Syst. 15(1): 76 (2022) - [j4]Petr Dolezel, Pavel Skrabanek, Dominik Stursa, Bruno Baruque Zanon, Héctor Cogollos Adrián, Pavel Kryda:
Centroid based person detection using pixelwise prediction of the position. J. Comput. Sci. 63: 101760 (2022) - [c23]Petr Dolezel, Jiri Rolecek, Daniel Honc, Dominik Stursa, Bruno Baruque Zanon:
Spectral Classification of Microplastics using Neural Networks: Pilot Feasibility Study. BIOSIGNALS 2022: 283-289 - [c22]Petr Dolezel, Dominik Stursa, Dusan Kopecký:
Suitable ASP U-Net training algorithms for grasping point detection of nontrivial objects. CoDIT 2022: 1586-1591 - [c21]Dominik Stursa, Dusan Kopecký, Jiri Rolecek, Petr Dolezel, Bruno Baruque Zanon:
Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum. SOCO 2022: 371-382 - 2021
- [j3]Petr Dolezel, Dominik Stursa, Dusan Kopecký, Jiri Jecha:
Memory Efficient Grasping Point Detection of Nontrivial Objects. IEEE Access 9: 82130-82145 (2021) - [j2]Mohamed Chouai, Petr Dolezel, Dominik Stursa, Zdenek Nemec:
New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection. Sensors 21(17): 5848 (2021) - [c20]Miroslav Dvorak, Petr Dolezel, Dominik Stursa, Mohamed Chouai:
Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach. SOCO 2021: 187-197 - [c19]Mohamed Chouai, Mostefa Merah, José-Luis Sancho-Gómez, Petr Dolezel:
Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety. SOCO 2021: 338-347 - [c18]Dominik Stursa, Petr Dolezel, Bruno Baruque Zanon:
Medical Catheters Grasping Point Detection with Quality Control. SOCO 2021: 408-418 - 2020
- [c17]Filip Holík, Petr Dolezel:
Industrial Network Protection by SDN-Based IPS with AI. ACIIDS (Companion) 2020: 192-203 - [c16]Petr Dolezel, Dominik Stursa, Daniel Honc:
Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network. ICSTCC 2020: 213-217 - [c15]Filip Holík, Petr Dolezel, Jan Merta, Dominik Stursa:
Development of Artificial Intelligence Based Module to Industrial Network Protection System. IntelliSys (3) 2020: 229-240 - [c14]Dominik Stursa, Petr Dolezel, Daniel Honc:
Basic Urinal Flow Curves Classification with Proposed Solutions. IntelliSys (1) 2020: 737-746 - [c13]Dominik Stursa, Bruno Baruque Zanon, Petr Dolezel:
Novel Approach for Person Detection Based on Image Segmentation Neural Network. SOCO 2020: 166-175 - [c12]Pavel Skrabánek, Petr Dolezel, Radomil Matousek, Petr Junek:
RGB Images Driven Recognition of Grapevine Varieties. SOCO 2020: 216-225 - [c11]Petr Dolezel, Dominik Stursa, Daniel Honc, Jan Merta, Veronika Rozsivalova, Ladislav Beran, Ivo Hora:
Counting Livestock with Image Segmentation Neural Network. SOCO 2020: 237-244
2010 – 2019
- 2019
- [c10]Miroslav Dvorak, Petr Dolezel:
Comparison Two of Different Technologies for Outdoor Positioning of Robotic Vehicles. CSOC (1) 2019: 90-98 - [c9]Petr Dolezel, Dominik Stursa, Pavel Skrabanek:
On Possibilities of Human Head Detection for Person Flow Monitoring System. IWANN (2) 2019: 402-413 - 2018
- [c8]Miroslav Dvorak, Petr Dolezel:
An IoT Approach to Positioning of a Robotic Vehicle. CSOS (1) 2018: 99-108 - [c7]Petr Dolezel, Pavel Rozsival, Veronika Rozsivalova, Jirí Tvrdík:
Automatized Approach to Assessment of Degree of Delamination Around a Scribe. IntelliSys (1) 2018: 227-236 - [c6]Jirí Tvrdík, Petr Dolezel:
Fine Localization of Complex Components for Bin Picking. IntelliSys (1) 2018: 246-255 - 2017
- [j1]Pavel Skrabánek, Petr Dolezel:
Robust Grape Detector Based on SVMs and HOG Features. Comput. Intell. Neurosci. 2017: 3478602:1-3478602:17 (2017) - 2016
- [c5]Petr Dolezel, Pavel Skrabanek, Lumir Gago:
Neural Network as a Tool for Detection of Wine Grapes. CSOC (1) 2016: 225-235 - [c4]Petr Dolezel, Pavel Skrabanek, Lumir Gago:
Pattern recognition neural network as a tool for pest birds detection. SSCI 2016: 1-6 - 2015
- [c3]Jana Heckenbergerova, Petr Dolezel:
Shipping Schedule-Oriented Production Planning Using Genetic Algorithm. ECC 2015: 225-235 - [c2]Petr Dolezel, Martin Mariska:
Neural Networks and Linear Predictive Coding Coefficients Used for European Starling Detection in Vineyards. SOCO 2015: 91-99
2000 – 2009
- 2008
- [c1]Petr Dolezel, Tomás Dulík:
Data Mining Service For Oaister Digital Library. e-Learning 2008: 61-65
Coauthor Index
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