Zobrazeno 1 - 10
of 37
pro vyhledávání: '"chouchane, Ammar"'
Autor:
Ouamane, Abdelmalik, Chouchane, Ammar, Himeur, Yassine, Debilou, Abderrazak, Amira, Abbes, Atalla, Shadi, Mansoor, Wathiq, Ahmad, Hussain Al
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop health and productivity. Leveraging advanced algorithms and imaging te
Externí odkaz:
http://arxiv.org/abs/2405.20058
Autor:
Habchi, Yassine, Kheddar, Hamza, Himeur, Yassine, Boukabou, Abdelkrim, Chouchane, Ammar, Ouamane, Abdelmalik, Atalla, Shadi, Mansoor, Wathiq
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the challenge of identifying thyroid cancer (TC) has seen progress with the us
Externí odkaz:
http://arxiv.org/abs/2403.13843
Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research area in the last few years. It aims to identify persons across different non-overlapping camera views. In this paper, We propose a novel PRe-ID system that
Externí odkaz:
http://arxiv.org/abs/2312.16226
Kinship verification using facial photographs captured in the wild is difficult area of research in the science of computer vision. It might be used for a variety of applications, including image annotation and searching for missing children, etc. Th
Externí odkaz:
http://arxiv.org/abs/2312.11290
Autor:
Gharbi, Akram Abderraouf, Chouchane, Ammar, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Belabbaci, El ouanas
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning. Our approach utilizes pretrained CNNs for high-level feature extraction, along with Local Maximal
Externí odkaz:
http://arxiv.org/abs/2312.10470
Autor:
Belabbaci, El Ouanas, Khammari, Mohammed, Chouchane, Ammar, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Himeur, Yassine, Atalla, Shadi, Mansoor, Wathiq
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of study holds a myriad of potential applications, spanning from image anno
Externí odkaz:
http://arxiv.org/abs/2312.03562
Autor:
Berkani, Mohamed Rafik Aymene, Chouchane, Ammar, Himeur, Yassine, Ouamane, Abdelmalik, Amira, Abbes
The surveillance of indoor air quality is paramount for ensuring environmental safety, a task made increasingly viable due to advancements in technology and the application of artificial intelligence and deep learning (DL) tools. This paper introduce
Externí odkaz:
http://arxiv.org/abs/2311.03920
Autor:
Habchi, Yassine, Himeur, Yassine, Kheddar, Hamza, Boukabou, Abdelkrim, Atalla, Shadi, Chouchane, Ammar, Ouamane, Abdelmalik, Mansoor, Wathiq
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases. One of the key challenges in this field is detecting thyroid ca
Externí odkaz:
http://arxiv.org/abs/2308.13592
Autor:
Chouchane, Ammar, Ouamane, Abdelmalik, Himeur, Yassine, Mansoor, Wathiq, Atalla, Shadi, Benzaibak, Afaf, Boudellal, Chahrazed
Person re-identification (PRe-ID) is a crucial task in security, surveillance, and retail analysis, which involves identifying an individual across multiple cameras and views. However, it is a challenging task due to changes in illumination, backgrou
Externí odkaz:
http://arxiv.org/abs/2307.00397
Autor:
Gharbi, Akram Abderraouf, Chouchane, Ammar, Ouamane, Abdelmalik, Belabbaci, El Ouanas, Himeur, Yassine, Bourennane, Salah
Publikováno v:
In Expert Systems With Applications 10 December 2024 257
