Abeer S Almogren
Biographic Data
| ID | 1133874 |
|---|---|
| NAME | Abeer S Almogren |
| GIVEN NAMES | Abeer S |
| FAMILY NAME | Almogren |
| SIGNATURE | ALMOGREN A S |
| AFFILIATIONS | King Saud University |
| ORCID | 0000-0003-3050-2792 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Deep Learning Approach for Social IoT and Mental Health Emotion Detection From Videos
Social Internet of Things (IoT) creates an integrated ecosystem for mental health analysis through video emotion analysis. These systems can be transformed into real-time monitoring tools and support mental health care systems such as online education, interviews, and medical treatments. This research proposed video-based emotion classification with a novel optimized hybrid deep learning model. From the video, facial expression features such as e…
Students' Actual Use of E-Learning in Higher Education During the Covid-19 Pandemic
The purpose of this study was to look at factors that might influence whether or not academics will use e-learning during the Corona Virus Disease 2019 (COVID-19) pandemic. The goal of this paper is to look into the effect of perceived interaction, educational materials, playfulness, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use on students' attitudes toward and intentions to use e-learning in Saudi Arabia hi…
Students' Actual Use of E-Learning in Higher Education During the Covid-19 Pandemic
The purpose of this study was to look at factors that might influence whether or not academics will use e-learning during the Corona Virus Disease 2019 (COVID-19) pandemic. The goal of this paper is to look into the effect of perceived interaction, educational materials, playfulness, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use on students' attitudes toward and intentions to use e-learning in Saudi Arabia hi…
Students' Actual Use of E-Learning in Higher Education During the Covid-19 Pandemic
The purpose of this study was to look at factors that might influence whether or not academics will use e-learning during the Corona Virus Disease 2019 (COVID-19) pandemic. The goal of this paper is to look into the effect of perceived interaction, educational materials, playfulness, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use on students' attitudes toward and intentions to use e-learning in Saudi Arabia hi…
Deep Learning Approach for Social IoT and Mental Health Emotion Detection From Videos
Social Internet of Things (IoT) creates an integrated ecosystem for mental health analysis through video emotion analysis. These systems can be transformed into real-time monitoring tools and support mental health care systems such as online education, interviews, and medical treatments. This research proposed video-based emotion classification with a novel optimized hybrid deep learning model. From the video, facial expression features such as e…
Applied Psychology (1 works) · Computer Science (1 works) · Convolutional neural network (1 works) · COVID-19 and Mental Health (1 works) · Deep learning (1 works) · Disease (1 works) · Emotion and Mood Recognition (1 works) · Emotion classification (1 works) · Emotion recognition (1 works) · Facial expression (1 works)