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Antoni Jaszcz
Antoni Jaszcz
Faculty of Applied Mathematics, Silesian University of Technology
Verified email at student.polsl.pl
Title
Cited by
Cited by
Year
Lung x-ray image segmentation using heuristic red fox optimization algorithm
A Jaszcz, D Połap, R Damaševičius
Scientific Programming 2022, 1-8, 2022
302022
AIMM: Artificial intelligence merged methods for flood DDoS attacks detection
A Jaszcz, D Połap
Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022
182022
Bilinear pooling with poisoning detection module for automatic side scan sonar data analysis
D Połap, A Jaszcz, N Wawrzyniak, G Zaniewicz
IEEE Access, 2023
92023
Energy consumption prediction model for smart homes via decentralized federated learning with LSTM
D Połap, G Srivastava, A Jaszcz
IEEE Transactions on Consumer Electronics, 2023
22023
Human-AI collaboration to increase the perception of VR
A Jaszcz, K Prokop, D Połap, G Srivastava, JCW Lin
International Conference on Artificial Intelligence and Soft Computing, 51-60, 2022
12022
Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System
D Połap, A Jaszcz, K Prokop, G Srivastava
2023 IEEE International Conference on Big Data (BigData), 5097-5101, 2023
2023
End-to-end system for monitoring the state of rivers using a drone
K Prokop, K Połap, M Włodarczyk-Sielicka, A Jaszcz
Frontiers in Environmental Science, 2023
2023
The Impact of Entropy Weighting Technique on MCDM-Based Rankings on Patients Using Ambiguous medical Data
A Jaszcz
International Conference on Information and Software Technologies, 329-340, 2023
2023
Impact of augmentation techniques on the classification of medical images
A Jaszcz
learning 9 (10), 11, 2022
2022
VGG16-based approach for side-scan sonar image analysis
A Jaszcz
2022
Reducing the Number of Calculations in k-nn by Class Representatives AtB Voting
A Jaszcza
2021
Heuristic Feedback for Generator Support in Generative Adversarial Network
D Połap, A Jaszcz
The impact of the weighting techniques on MultiMOORA-based ranking on patients using ambiguous medical data
A Jaszcz
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