Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wahida Handouzi"'
Publikováno v:
Bio-Medical Materials and Engineering. :1-12
BACKGROUND: The COVID-19 pandemic has resulted in increased psychological pressure on mental health since 2019. The resulting anxiety and stress have permeated every aspect of life during confinement. OBJECTIVE: To provide psychologists with an unbia
Autor:
Wafa Mellouk, Wahida Handouzi
Publikováno v:
Biomedical Signal Processing and Control. 85:104907
Autor:
Wafa Mellouk, Wahida Handouzi
Publikováno v:
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD).
Publikováno v:
EUSPN/ICTH
Everyday more and more accidents between vehicles accrue mainly because of poorly visible road signs, that is why it is important to have a system that can help drivers for safer driving. In order to improve road safety and significantly reduce the r
Autor:
Wafa Mellouk, Wahida Handouzi
Publikováno v:
FNC/MobiSPC
Automatic emotion recognition based on facial expression is an interesting research field, which has presented and applied in several areas such as safety, health and in human machine interfaces. Researchers in this field are interested in developing
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030963040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::824fa7ecf3f4384b80fafea656663f68
https://doi.org/10.1007/978-3-030-96305-7_54
https://doi.org/10.1007/978-3-030-96305-7_54
Publikováno v:
Healthcare Systems and Health Informatics ISBN: 9781003146087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96aaa5c56f5bbf88665b7d40e4c1f977
https://doi.org/10.1201/9781003146087-12
https://doi.org/10.1201/9781003146087-12
Autor:
Wahida Handouzi, Wafa Mellouk
Publikováno v:
Innovations in Smart Cities Applications Volume 4 ISBN: 9783030668396
Automatic facial emotion recognition is intriguing, emerging research area, provided many advantages in different fields. In recent years, artificial intelligence has enjoyed enormous success thanks to powerful deep learning architectures, capable of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8171da052e6bc5314394be638e07777c
https://doi.org/10.1007/978-3-030-66840-2_59
https://doi.org/10.1007/978-3-030-66840-2_59
Autor:
Ahmed Ziane, Wahida Handouzi
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366735
Facial expression recognition has made great progress over the last two decades. The growth in the use of deep learning has contributed significantly to this advance. In this work, we proposed a Deep ConvNet architecture for facial expression recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b1eee32399f4773177febdc3969c49
https://doi.org/10.1007/978-3-030-36674-2_22
https://doi.org/10.1007/978-3-030-36674-2_22
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030118839
Many studies on surgical skill analysis have reported results on classification of different skills. However, regardless of the classification problem, only few of them have addressed the problem of task evaluation. In this paper, we propose a simple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf2aa650c7d8d90bae4c42e888305a6
https://doi.org/10.1007/978-3-030-11884-6_15
https://doi.org/10.1007/978-3-030-11884-6_15