Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rajwa Alharthi"'
Publikováno v:
IEEE Access, Vol 11, Pp 64114-64127 (2023)
Despite a body of research revolving around online abusive language, aiming at different objectives such as detection, diffusion prediction, and mitigation, existing research has seldom looked at factors motivating this behaviour. To further research
Externí odkaz:
https://doaj.org/article/3dc717974a1b4d01a5d1e795648fcc68
Publikováno v:
Applied System Innovation, Vol 6, Iss 4, p 68 (2023)
In this paper, a framework for simultaneous tracking and recognizing drone targets using a low-cost and small-sized millimeter-wave radar is presented. The radar collects the reflected signals of multiple targets in the field of view, including drone
Externí odkaz:
https://doaj.org/article/d66138e7d3cc4b0d821c3428f38e3804
Publikováno v:
IEEE Access, Vol 8, Pp 136046-136055 (2020)
Governments and municipalities need to understand their citizens’ psychological needs in critical times and dangerous situations. COVID-19 brings lots of challenges to deal with. We propose NeedFull, an interactive and scalable tweet analysis platf
Externí odkaz:
https://doaj.org/article/534c107022364e03aa6450c72ddddebb
Publikováno v:
IEEE Access, Vol 6, Pp 58737-58753 (2018)
We propose a psychological need detection framework which automatically identifies people needs and measures their satisfaction level. The framework employs three need models, which are developed using psychological, linguistic, and Twitter-specific
Externí odkaz:
https://doaj.org/article/805b4664ac3f470f8b2bd1bf6f3f192e
Publikováno v:
IEEE Access, Vol 5, Pp 9109-9117 (2017)
A real-time awareness of an individual's affective state is the goal of the affect-aware city. Being aware of different affective states can be useful to enhance a citizen's quality of life and their experiences. In this paper, we aim to provide new
Externí odkaz:
https://doaj.org/article/86fb7b96d4954a8ba76c5edaeacaa3f7
Autor:
Abdulmotaleb El Saddik, Rajwa Alharthi
Publikováno v:
SN Computer Science. 1
We propose an automatic, low-cost, large-scale, nonintrusive human need recognition framework that utilized a multi-layered psychological-based reference model and designed with different modules including data collection, preprocessing, feature extr
Publikováno v:
Semantic Web. 9:441-458
Publikováno v:
IEEE Access, Vol 6, Pp 58737-58753 (2018)
We propose a psychological need detection framework which automatically identifies people needs and measures their satisfaction level. The framework employs three need models, which are developed using psychological, linguistic, and Twitter-specific
Publikováno v:
Multimedia Tools and Applications. 78:9011-9031
In this paper, we propose a mobile-based context-aware acute stress prediction system (CASP) that predicts a user’s stress status based on their current contextual data. The system consists of a context-aware stress prediction algorithm, and an ear
Publikováno v:
IEEE Access, Vol 5, Pp 9109-9117 (2017)
A real-time awareness of an individual’s affective state is the goal of the affect-aware city. Being aware of different affective states can be useful to enhance a citizen’s quality of life and their experiences. In this paper, we aim to provide