32 citations · 39 across the 10 of their papers we have counts for
11 papers
Fusion techniques of time frequency-based images to predict the outcome of rTMS depression therapy
Wael Korani, Md Fahimul Kabir Chowdhury, Mohammed Aledhari +2
Depression is a mental condition that can lead to suicide and self-harm. Predicting the outcome of depression treatment is one of the most difficult tasks for clinicians. Among var…
Response drift across frontier large language models
Mohammed Aledhari, Ali Aledhari, Fatimah Aledhari +2
All frontier large language models (LLMs) exhibit response drift -- producing outputs that deviate from expert-validated references -- yet the magnitude and structure of this drift…
Soft Learning
Mohammed Aledhari, Ali Aledhari, Fatimah Aledhari +1
Modern machine learning forces practitioners to choose between powerful but expensive deep networks and fast but limited classical algorithms. Here we introduce Soft Learning, a fr…
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti +3
With the increasing frequency and sophistication of Distributed Denial of Service (DDoS) attacks, it has become critical to develop more efficient and interpretable detection metho…
A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick +5
In today's digital era, the Internet, especially social media platforms, plays a significant role in shaping public opinions, attitudes, and beliefs. Unfortunately, the credibility…
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari, Rehma Razzak, Mohamed Rahouti +6
The advancements in autonomous driving technology, coupled with the growing interest from automotive manufacturers and tech companies, suggest a rising adoption of Connected Autono…
Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction
Lamya Benaddi, Charaf Ouaddi, Adnane Souha +5
A chatbot is an intelligent software application that automates conversations and engages users in natural language through messaging platforms. Leveraging artificial intelligence…
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
Mohammed Aledhari, Mohamed Rahouti, Ali Alfatemi
Autism Spectrum Disorder (ASD) is often underdiagnosed in females due to gender-specific symptom differences overlooked by conventional diagnostics. This study evaluates machine le…
Gene and RNA Editing: Methods, Enabling Technologies, Applications, and Future Directions
Mohammed Aledhari, Mohamed Rahouti
Gene and RNA editing methods, technologies, and applications are emerging as innovative forms of therapy and medicine, offering more efficient implementation compared to traditiona…
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir +3
This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autono…
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh +6
COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and p…