Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dahdouh Yousra"'
Publikováno v:
Innovations in Smart Cities Applications Volume 6 ISBN: 9783031268519
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115c64029fa09c54b5b8b5cd33bc6051
https://doi.org/10.1007/978-3-031-26852-6_30
https://doi.org/10.1007/978-3-031-26852-6_30
Publikováno v:
International journal of electrical and computer engineering systems
Volume 14
Issue 5
Volume 14
Issue 5
Nowadays, skin cancer is one of the most important problems faced by the world, due especially to the rapid development of skin cells and excessive exposure to UV rays. Therefore, early detection at an early stage employing advanced automated systems
Autor:
Purnama, Anton, Arafah, Burhanuddin, Dahdouh, Yousra, Anouar, Abdelhakim Boudhir, Ben Ahmed, Mohamed
Publikováno v:
Proceedings of SPIE; December 2023, Vol. 12936 Issue: 1 p129360U-129360U-10, 12806651p
Publikováno v:
Sustainable Smart Cities and Territories ISBN: 9783030789008
SSCT
SSCT
The coronavirus disease 2019 (COVID-19) first emerged in Wuhan China, and spread across the globe with unprecedented effect. It has became a major healthcare challenge threatening health of billions of humans. Due to absence of therapeutic drugs or v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f56988cae5538b90e2ace504ad239b89
https://doi.org/10.1007/978-3-030-78901-5_17
https://doi.org/10.1007/978-3-030-78901-5_17
Publikováno v:
Advances in Science, Technology & Innovation ISBN: 9783030534394
In the context of Artificial Intelligence’s Sustainability (AI), deep learning has sparked tremendous global interest in recent years. Deep Learning has been widely adopted in image recognition, speech recognition, and natural language processing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4bae71dc42f981b7933179414bb52fb
https://doi.org/10.1007/978-3-030-53440-0_3
https://doi.org/10.1007/978-3-030-53440-0_3
Publikováno v:
NISS
Automatic classification of medical images especially of tissue images is an important task in computer aided diagnosis (CAD) systems. Deep learning methods such as convolutional networks (ConvNets) outperform other state of-the-art methods in images
Publikováno v:
Proceedings of SPIE; 6/22/2024, Vol. 12936, p129360U-129360U-10, 1p
Publikováno v:
SCA
This article presents our proposed system combining a Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) for the visual question answering applied in the medical images characterization. In our proposed Encoder-Decoder Model we hav