dr hab. inż. Piotr Szczuko | Politechnika Gdańska

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dr hab. inż. Piotr Szczuko

Kontakt:

email:
pioszczu@pg.edu.pl
strona:
https://mostwiedzy.pl/szczuko

Zajmowane stanowiska:

Profesor uczelni

miejsce pracy:
Katedra Systemów Multimedialnych
Gmach Elektroniki Telekomunikacji i Informatyki pokój 729
telefon:
(58) 347 29 72
dr hab. inż. Piotr Szczuko

Publikacje:

  1. Publikacja

    - ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - Rok 2024

    Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely used to enhance security in various devices. In the past decade, significant progress has been made in improving biometric sys- tems, thanks to advancements in deep convolutional neural networks (DCNN) and computer vision (CV), along with large-scale training datasets. However, these systems have become targets of various attacks, with...

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  2. Publikacja

    - Rok 2024

    Presentation Attack Detection (PAD) is crucial in biometric finger vein recognition. The susceptibility of these systems to forged finger vein images is a significant challenge. Existing approaches to mitigate presentation attacks have computational complexity limitations and limited data availability. This study proposed a novel method for identifying presentation attacks in finger vein biometric systems. We have used optimal...

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  3. Publikacja

    This paper presents a novel approach to enhance the accuracy of deep learning models for acoustic event detection and classification in real-world environments. We introduce a method that leverages activation maps to identify and address model overfitting, combined with an expert-knowledge-based event detection algorithm for data pre-processing. Our approach significantly improved classification performance, increasing the F1 score...

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  4. Publikacja

    - Rok 2024

    This study investigates the role of deep learning models, particularly MobileNet-v2, in Parkinson's Disease (PD) detection through handwriting spiral analysis. Handwriting difficulties often signal early signs of PD, necessitating early detection tools due to potential impacts on patients' work capacities. The study utilizes a three-fold approach, including data augmentation, algorithm development for simulated PD image datasets,...

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  5. Publikacja

    - Healthcare - Rok 2023

    In recent years, a lot of attention has been paid to using radiology imaging to automatically find COVID-19. (1) Background: There are now a number of computer-aided diagnostic schemes that help radiologists and doctors perform diagnostic COVID-19 tests quickly, accurately, and consistently. (2) Methods: Using chest X-ray images, this study proposed a cutting-edge scheme for the automatic recognition of COVID-19 and pneumonia....

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