189 citations · 225 across the 19 of their papers we have counts for
19 papers
A Review on Quantum Satellite Communications: Challenges and Future Directions
Omar Alnaseri, Yassine Himeur, Ahmed Al Asadi +4
Quantum satellite communication (QSC) is emerging as a strategic technology for secure global networking and long-distance quantum connectivity. This review prioritizes the major c…
A Novel Hybrid Deep Learning and Chaotic Dynamics Approach for Thyroid Cancer Classification
Nada Bouchekout, Abdelkrim Boukabou, Morad Grimes +5
Timely and accurate diagnosis is crucial in addressing the global rise in thyroid cancer, ensuring effective treatment strategies and improved patient outcomes. We present an intel…
LLM-Augmented and Fair Machine Learning Framework for University Admission Prediction
Mohammad Abbadi, Yassine Himeur, Shadi Atalla +2
Universities face surging applications and heightened expectations for fairness, making accurate admission prediction increasingly vital. This work presents a comprehensive framewo…
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition
Mohsine El Khayati, Ayyad Maafiri, Yassine Himeur +3
The study explores the integration of transfer learning (TL) with mobile-enabled convolutional neural networks (MbNets) to enhance Arabic Handwritten Character Recognition (AHCR).…
Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study
Mohammad Abbadi, Yassine Himeur, Shadi Atalla +1
Breast cancer remains a leading cause of cancer-related mortality among women worldwide. Ultrasound imaging, widely used due to its safety and cost-effectiveness, plays a key role…
Complexity of Post-Quantum Cryptography in Embedded Systems and Its Optimization Strategies
Omar Alnaseri, Yassine Himeur, Shadi Atalla +1
With the rapid advancements in quantum computing, traditional cryptographic schemes like Rivest-Shamir-Adleman (RSA) and elliptic curve cryptography (ECC) are becoming vulnerable,…
Blockchain-Powered Asset Tokenization Platform
Aaryan Sinha, Raja Muthalagu, Pranav Pawar +2
Blockchain Technology has revolutionized Finance and Technology with its secure, decentralized, and trust-less methodologies of data management. In a world where asset value fluctu…
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
A. Karthick kumar, S. Rathnamala, T. Vijayashanthi +4
Cyberattacks in an Internet of Things (IoT) environment can have significant impacts because of the interconnected nature of devices and systems. An attacker uses a network of comp…
Applications of Knowledge Distillation in Remote Sensing: A Survey
Yassine Himeur, Nour Aburaed, Omar Elharrouss +4
With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficienc…
Deep Transfer Learning for Kidney Cancer Diagnosis
Yassine Habchi, Hamza Kheddar, Yassine Himeur +5
Incurable diseases continue to pose major challenges to global healthcare systems, with their prevalence shaped by lifestyle, economic, social, and genetic factors. Among these, ki…
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar +5
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or an…
Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD
Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur +5
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop…
Quadrotor Experimental Dynamic Identification with Comprehensive NARX Neural Networks
Khaled Telli, Okba Kraa, Yassine Himeur +4
This research paper delves into the field of quadrotor dynamics, which are famous by their nonlinearity, under-actuation, and multivariable nature. Due to the critical need for pre…
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar +5
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable dis…
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur +5
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various do…
Federated Learning for Computer Vision
Yassine Himeur, Iraklis Varlamis, Hamza Kheddar +5
Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks. However, the need for large-scale dat…
A Comprehensive Review of Recent Research Trends on UAVs
Kaled Telli, Okba Kraa, Yassine Himeur +4
The growing interest in unmanned aerial vehicles (UAVs) from both scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expa…
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
Adel Oulefki, Yassine Himeur, Thaweesak Trongtiraku +9
Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy security. However, hot spot and snail trails in PV modules caused mostly by crakes reduce…
Improving CNN-based Person Re-identification using score Normalization
Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur +4
Person re-identification (PRe-ID) is a crucial task in security, surveillance, and retail analysis, which involves identifying an individual across multiple cameras and views. Howe…