F. Aloul
3 Papers
F. Aloul is an academic researcher. The author has contributed to research in topics: Computer science. The author has co-authored 1 publications.
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Papers
Evaluating Multimodal Wearable Sensors for Quantifying Affective States and Depression With Neural Networks
Abdullah Ahmed,Jayroop Ramesh,S. Ganguly,Raafat Aburukba,Assim Sagahyroon,F. Aloul +5 more
TL;DR: This study evaluates multimodal wearable sensors using neural networks to quantify affective states and depression, achieving sensitivity and specificity scores of 58.75%:45.59% and 62.34%:43.41% on the DAPPER dataset with uni-and bimodal settings.
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Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking
TL;DR: In this article , the authors present a framework in which the security of a digital twins (DT) can be analyzed with the help of a formal verification technique, where the security properties of a DT system are represented as a state-transition system and security properties are captured in temporal logic.
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Interpretable Machine Learning Models for Vitamin A Deficiency Screening in School-Aged Children
Jayroop Ramesh,Stalin Sabu Thomas,Amar Hassan Khamis,Assim Sagahyroon,F. Aloul,Adel Rushood +5 more
TL;DR: This study explores the feasibility of using machine learning to detect Vitamin A deficiency in school-aged children in developing countries, achieving 86% accuracy with Random Forest and Light Gradient Boosting Model on a dataset of 18,423 patient records.