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ORCIDMichal Wieczorek 0002
Person information
- unicode name: Michał Wieczorek
- affiliation: Silesian University of Technology, Faculty of Applied Mathematics, Gliwice, Poland
Other persons with the same name
- Michal Wieczorek — disambiguation page
- Michal Wieczorek 0001
![[0000-0003-3688-9684]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3688-9684")
— Dublin City University, Institute of Ethics, Ireland
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2020 – today
- 2025
[c17]Antoni Jaszcz, Dawid Polap, Adam Zielonka, Michal Wieczorek:
Type-2 Fuzzy Controller as a Client Reputation Mechanism for Federated Learning. FUZZ 2025: 1-4- [c16]Katarzyna Prokop, Marcin Wozniak, Dawid Polap, Michal Wieczorek:
Dynamic Fuzzy-Based Cost Assignment Module for a Reinforced Nested Segmentation Model in Industrial Fault Identification. FUZZ 2025: 1-6 - [c15]Antoni Jaszcz, Adam Zielonka, Michal Wieczorek, Dawid Polap:
Fuzzy Attention Module for CNNs in the Application of Space Analysis. ICAISC (2) 2025: 82-91 - [c14]Katarzyna Wiltos, Agnieszka Polowczyk, Alicja Polowczyk, Marcin Wozniak, Michal Wieczorek:
Segmented Medical Image Classification with Deep Convolutional Neural Networks Architectures for WBC Detection. ICAISC (2) 2025: 222-231 - [c13]Jakub Silka, Michal Wieczorek:
Custom Sequential Neural Network for Inverse Kinematic Regression. IJCNN 2025: 1-8 - [c12]Michal Wieczorek, Jakub Silka, Katarzyna Wiltos:
One-shot Deep Learning Pressure Solver for 2D Eulerian Smoke Simulation Application. IJCNN 2025: 1-7 - 2024
- [j9]Michal Wieczorek, Natalia Wojtas, Roman Witula, Aleksandra Krawczyk, Karol Rycerz:
A custom deep learning architecture with image augmentation for intelligent gastrointestinal tract tissue classification. Int. J. Appl. Math. Comput. Sci. 34(4) (2024) - [c11]Jakub Silka, Michal Wieczorek, Katarzyna Wiltos, Marcin Wozniak:
Swarm Optimization for Enhanced Random Forest-Based IoT Security. ICAISC (3) 2024: 176-185 - [c10]Michal Wieczorek, Jakub Silka, Katarzyna Wiltos, Marcin Wozniak:
Transformer Based Semantic Segmentation Network for Medical Imaging Application. ICAISC (2) 2024: 380-389 - 2023
- [j8]Marcin Wozniak, Michal Wieczorek, Jakub Silka:
BiLSTM deep neural network model for imbalanced medical data of IoT systems. Future Gener. Comput. Syst. 141: 489-499 (2023) - [j7]Marcin Wozniak, Jakub Silka, Michal Wieczorek:
Deep neural network correlation learning mechanism for CT brain tumor detection. Neural Comput. Appl. 35(20): 14611-14626 (2023) - [j6]Wojciech Silka, Michal Wieczorek, Jakub Silka, Marcin Wozniak:
Malaria Detection Using Advanced Deep Learning Architecture. Sensors 23(3): 1501 (2023) - [c9]Michal Wieczorek, Jakub Silka, Martyna Kobielnik, Marcin Wozniak:
Semantic Segmentation Neural Network in Automatic Weapon Detection. ICAISC (2) 2023: 112-120 - 2022
- [j5]Jakub Silka, Michal Wieczorek, Marcin Wozniak:
Recurrent neural network model for high-speed train vibration prediction from time series. Neural Comput. Appl. 34(16): 13305-13318 (2022) - [j4]Michal Wieczorek, Jakub Silka, Marcin Wozniak, Sahil Garg, Mohammad Mehedi Hassan:
Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations. IEEE Trans. Ind. Informatics 18(7): 4820-4829 (2022) - [j3]Qiao Ke, Jakub Silka, Michal Wieczorek, Zongwen Bai, Marcin Wozniak:
Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management. IEEE Trans. Intell. Transp. Syst. 23(9): 16752-16762 (2022) - [c8]Jakub Silka, Michal Wieczorek, Martyna Kobielnik, Marcin Wozniak:
BiLSTM Deep Learning Model for Heart Problems Detection. ICAISC (1) 2022: 93-104 - [c7]Marcin Wozniak, Michal Wieczorek, Jakub Silka:
Deep neural network with transfer learning in remote object detection from drone. DroneCom@MobiCom 2022: 121-126 - 2021
- [j2]Marcin Wozniak, Michal Wieczorek, Jakub Silka, Dawid Polap:
Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network. IEEE Trans. Ind. Informatics 17(3): 2101-2111 (2021) - [j1]Marcin Wozniak, Jakub Silka, Michal Wieczorek, Mubarak Alrashoud:
Recurrent Neural Network Model for IoT and Networking Malware Threat Detection. IEEE Trans. Ind. Informatics 17(8): 5583-5594 (2021) - [c6]Faisal Mehmood Shah, Zohaib Mehmood Shah, Sarmad Maqsood, Robertas Damasevicius, Muhammad Ali Shahzad, Michal Wieczorek, Marcin Wozniak:
Architecture Monitoring and Reliability Estimation Based on DIP Technology. ICAISC (2) 2021: 25-35 - [c5]Michal Wieczorek:
CNN-Powered Body and Face Detection for Intelligent People Counting in Covid-19 Restricted Places. IVUS 2021: 132-140 - [c4]Marcin Wozniak, Jakub Silka, Michal Wieczorek:
Deep learning based crowd counting model for drone assisted systems. DroneCom@MobiCom 2021: 31-36 - 2020
- [c3]Jakub Silka, Michal Wieczorek, Marcin Wozniak:
Future Graduate Salaries Prediction Model Based On Recurrent Neural Network. FedCSIS 2020: 427-430 - [c2]Olusola Oluwakemi Abayomi-Alli, Robertas Damasevicius, Michal Wieczorek, Marcin Wozniak:
Data Augmentation Using Principal Component Resampling for Image Recognition by Deep Learning. ICAISC (2) 2020: 39-48 - [c1]Michal Wieczorek:
Simple Clipboard Malware Attack Detection and Analysis from the User-Machine Interaction View. IVUS 2020: 138-144
Coauthor Index
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