Submissions from 2026
Multi-Label Ocular Disease Recognition Using Vision Transformers on the ODIR-5K Dataset, Abdullah Abu El-Azm and Gehad Ismail Sayed PhD
Explainable Alzheimer's Disease Classification from Brain MRI using an Attention-Enhanced Residual Network, Hassan A. Fouad and Gehad Ismail Sayed PhD
Quantum Neural Network for Robust Image Classification: Applications to Medical and Benchmark Datasets, Hamza Ahmed, Baraa Tantawi, Malak Magdy, Eman El-Sayed, and Gehad Ismail Sayed PhD
A Vision Transformer-Based Model for Skin Disease Classification, Mohamed Alhusein Abdalla and Gehad Ismail Sayed PhD
A Deep Learning Based Framework Using Multidimensional Feature Fusion for Cardiovascular Disease Classification, Hossam Al-Sayed Mohammed and Gehad Ismail Sayed PhD
Automated Detection of Rice Leaf Diseases Using Custom Convolutional Neural Network, Sameh Basha, Gehad Ismail Sayed PhD, Areeg Abdalla, and Aboul Ella Hassanien
Multi-modal Fake News Detection Publisher: IEEE Cite This PDF, Ahmed M. Fahmy and Moataz Salah ElFoly
Cone-Rod Dystrophy Multimodal Prediction, Ahmed M. Fahmy, Caroline Atef Tawfik, and Seif Eldin Wael
CyberGuard: A Deployable Deep Learning Model for Cyber Attacks Threat Detection, and Prevention, Ahmed M. Fahmy and Mohamed M. Wafiq
Optimized ResNet50-based Model for Solar Panel Fault Detection Using a Modified Light Spectrum Optimizer, Gehad Ismail Sayed PhD
Automated Okra Maturity Detection Using Thermal Imaging and Deep Learning, Gehad Ismail Sayed PhD, Mariam Abdellatif, and Aboul Ella Hassanien
DyslexiaMate: A Mobile Based System for Supporting Individual with Dyslexia Using Machine Learning Algorithms, Ali Mohamed, Fatma Yehia, Rana Abubakar, Saif Mostafa, Peter Elia, Merna Fouad, Hend Ali, and Gehad Ismail Sayed PhD
SkyFuseNet: A Cross-Attention Swin Transformer-Based Model for PM2. 5 Estimation Using Ground-Level Images and Air Quality Readings, Mohamed Saleh Abdelsalam and Gehad Ismail Sayed PhD
Monsif: Automated Arabic Legal Judgment Prediction System for Egyptian Criminal Law, Ganna Saleh, Nada Zamzam, Omar Ehab, Ahmed Bassem, and Gehad Ismail Sayed PhD
A Pretrained CNN–Transformer Gated Fusion Architecture for Ovarian Cancer Histological Subtype, Ahmed Sameh Elzayat and Gehad Ismail Sayed PhD
EcoVision: Machine Learning Driven Air and Water Quality Forecasting System for Sustainable Living, Mina Wael, Amir Rafaat, Ahmed Tarek, Khaled Hussein, Youssed Muhammed, Mazen Ezzat, and Gehad Ismail Sayed PhD
Submissions from 2025
Cheby-KANs: Advanced Kolmogorov–Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry Applications, Amgad Abdallah Mahmoud, Andreas Pester, Maha M. Muttardi, Frederic Andres, and Shihori Tanabe
Automated X-Ray Chest Report Generation, Ahmed M. Fahmy and Manar El Mashaad
Mathematical Basics of AI for Precision Wellness, In: Harnessing AI and Machine Learning for Precision Wellness, Edited by Frederic Andres et al., Maha M. Muttardi and Andreas Pester
Chapter 11 - Case studies illustrating the importance of disruptive technologies in the automotive sector, In: Technological Innovations and Industry 5.0 A Supply Chain Perspective, P. Pathmanaban, Frederic Andres, Andreas Pester, and S. Sathiyamurthy
Chapter 30 - Role of emerging technologies in agriculture, in; Health, Nutrition and Sustainability, Editor(s): Tanmay Sarkar, Slim Smaoui,, P. Pathmanaban, N. Murugu Nachiappan, Andreas Pester, C.N. Kowthaman, and Cyro Albuquerque Neto
Generative AI and Digital Twins: Fostering Creativity in Learning Environments, in: Human-Computer Creativity Generative AI in Education, Art, and Healthcare, editor: Vladimir Geroimenko, Andreas Pester, Frederic Andres, C. Anantaram, and Jon Mason
Submissions from 2024
AdaptVR: An Adaptive Learning VR System for Dental Students Training, Nahla Barakat, Abeer hamdy, and Meriam Sherif
Eye Diseases Prediction and Classification using Deep Learning Techniques., Ahmed M. Fahmy
Conversational Agents, Virtual Worlds, and Beyond: A Review of Large Language Models Enabling Immersive Learning, Andreas Pester, Ahmed Tamaa, Christian Guetl, Alexander Steinmaurer, and Samir El Seoud
Improving code semantics learning using enhanced Abstract Syntax Tree, Zeina Swilam, Abeer Hamdy, and Andreas Pester
Submissions from 2023
Data and Model Centric Approaches for Card Fraud Detection, Nahla Barakat and Sara Farag
Adaptive Learning and Virtual Reality based Conceptual Framework for Dental Training, Nahla Barakat, Abeer hamdy, and Meriam Sherif
Submissions from 2022
From Similarities to Probabilities: Feature Engineering for Predicting Drugs’ Adverse Reactions, Nahla Barakat and Ahmed Elsabagh
Arabic Image Captioning: The Effect of Text Pre-processing on the Attention Weights and the BLEU-N Scores, Nahla Barakat and Moaz Taha
Submissions from 2019
A framework for integrating software design patterns with game design framework, Nahla Barakat
Prediction and staging of hepatic fibrosis in children with hepatitis C virus: A machine learning approach, Nahla Barakat, Sana Barakat, and Nadia ahmed
Submissions from 2018
Intelligent alarm system to protect small, valuable items, Nahla Barakat and Ahmed El kashef
Submissions from 2017
Mission Possible: A gamified approach to handle cancer survivors stress, Nahla Barakat and Asmaa Shalaby
Submissions from 2016
Cascade Generalization: One versus Many, Nahla Barakat
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model, Nahla Barakat
Submissions from 2013
Feature ranking utilizing support vector machines' SVs, Nahla Barakat