Michal Wieczorek

Orcid: 0000-0002-5319-3366

Affiliations:
  • Silesian University of Technology, Faculty of Applied Mathematics, Gliwice, Poland


According to our database1, Michal Wieczorek authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Transformer Based Semantic Segmentation Network for Medical Imaging Application.
Proceedings of the Artificial Intelligence and Soft Computing, 2024

Swarm Optimization for Enhanced Random Forest-Based IoT Security.
Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023
Deep neural network correlation learning mechanism for CT brain tumor detection.
Neural Comput. Appl., July, 2023

BiLSTM deep neural network model for imbalanced medical data of IoT systems.
Future Gener. Comput. Syst., April, 2023

Malaria Detection Using Advanced Deep Learning Architecture.
Sensors, February, 2023

Semantic Segmentation Neural Network in Automatic Weapon Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management.
IEEE Trans. Intell. Transp. Syst., 2022

Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations.
IEEE Trans. Ind. Informatics, 2022

Recurrent neural network model for high-speed train vibration prediction from time series.
Neural Comput. Appl., 2022

Deep neural network with transfer learning in remote object detection from drone.
Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

BiLSTM Deep Learning Model for Heart Problems Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network.
IEEE Trans. Ind. Informatics, 2021

Recurrent Neural Network Model for IoT and Networking Malware Threat Detection.
IEEE Trans. Ind. Informatics, 2021

Deep learning based crowd counting model for drone assisted systems.
Proceedings of the DroneCom '21: Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2021

CNN-Powered Body and Face Detection for Intelligent People Counting in Covid-19 Restricted Places.
Proceedings of the 26th International Conference on Information Society and University Studies (IVUS 2021), 2021

Architecture Monitoring and Reliability Estimation Based on DIP Technology.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Simple Clipboard Malware Attack Detection and Analysis from the User-Machine Interaction View.
Proceedings of the Information Society and University Studies 2020, 2020

Data Augmentation Using Principal Component Resampling for Image Recognition by Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Future Graduate Salaries Prediction Model Based On Recurrent Neural Network.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020


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