prof. dr hab. inż.

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Tadeusiewicz

Najnowsze publikacje

Kiziloluk S.; Sert E.; Hammad M.; Tadeusiewicz R.; Pławiak P.; EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19; Biocybernetics and Biomedical Engineering; 2024
Sasmal P.; Sharma V.; Prakash A.; Bhuyan M.; Patro K.; Samee N.; Alamro H.; Iwahori Y.; Tadeusiewicz R.; Acharya R.; Pławiak P.; Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images; Information Sciences; 2024
Kavya L.; Karuna Y.; Saritha S.; Prakash A.; Patro K.; Sahoo S.; Tadeusiewicz R.; Plawiak P.; A Review of Shockable Arrhythmia Detection of ECG Signals Using Machine and Deep Learning Techniques; International Journal of Applied Mathematics and Computer Science; 2024
Patro K.; Allam J.; Neelapu B.; Tadeusiewicz R.; Acharya R.; Hammad M.; Yildirim O.; Plawiak P.; Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images; Information Sciences; 2023
Sakr A.; Plawiak P.; Tadeusiewicz R.; Pławiak J.; Sakr M.; Hammad M.; ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection; Information Sciences; 2023

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