20 Mar 2026Open access
Generative AI and the Foundation Model Era: A Comprehensive ReviewBig Data and Cognitive Computing, Artificial Intelligence in Healthcare and Education
Active, last published 2026
In network security and intrusion detection
Siham
Essahraui
Scholar“Research focused on Network Security and Intrusion Detection and adjacent fields.”
Mohamed I University
Morocco
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Citations
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01 · About the work
What I study
iham Essahraui is a researcher working on Network Security and Intrusion Detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Siham's work has been cited 118 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Network Security and Intrusion Detection×4Software-Defined Networks and 5G×4Academic integrity and plagiarism×4Sleep and Work-Related Fatigue×3Internet Traffic Analysis and Secure E-voting×3
04 · Where I am
Affiliations
CurrentlyMohamed I University, Morocco
Research themes (UN SDGs)
05 · Selected work
Recent publications
21 works1 Jan 20261cites
Student Performance Prediction Based on Ensemble Learning TechniquesAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Online Learning and Analytics
1 Jan 2026
Identifying and Predicting Student Engagement and Motivation Using Deep Learning TechniquesAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Online Learning and Analytics
5 Nov 2025Open access7cites
FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deploymentPLoS ONE, Sleep and Work-Related Fatigue
20 Sept 2025Open access15cites
Early Fire and Smoke Detection Using Deep Learning: A Comprehensive Review of Models, Datasets, and ChallengesApplied Sciences, Fire Detection and Safety Systems
19 Jun 20254cites
Kolmogorov—Arnold Networks: Overview of Architectures and Use Cases29 Apr 202538cites
A Comprehensive Survey on Tiny Machine Learning for Human Behavior AnalysisIEEE Internet of Things Journal, Anomaly Detection Techniques and Applications
29 Jan 2025Open access57cites
Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning TechniquesSensors, Sleep and Work-Related Fatigue
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