Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ruslan Padnevych"'
Autor:
Joel Santos, Diogo A.P. Nunes, Ruslan Padnevych, José Carlos Quaresma, Martim Lopes, Joana Gil, João Pedro Bernardes, Tania Manuel Casimiro
Publikováno v:
Science and Technology of Archaeological Research, Vol 10, Iss 1 (2024)
This article presents a novel approach to classifying archaeological artefacts using machine learning, specifically deep learning, rather than relying on traditional, time-consuming human-based methods. By employing Convolutional Neural Networks (CNN
Externí odkaz:
https://doaj.org/article/a0a2c8eb40c649588d3a4ddd25ef9722
Improving Face Liveness Detection Robustness with Deep Convolutional Generative Adversarial Networks
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783031048807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a58c9f8672e5f8a580efeac78b4692
https://doi.org/10.1007/978-3-031-04881-4_21
https://doi.org/10.1007/978-3-031-04881-4_21
Publikováno v:
IWBF
Queuing at airport border controls is one of the bottlenecks in the flow of passengers, which results in a poor travel experience and in serious health risks, like COVID19, due to the concentration of people and contact surfaces [3]. To address this