189 citations · 229 across the 26 of their papers we have counts for
26 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…
Hybrid Autoencoder-Based Framework for Early Fault Detection in Wind Turbines
Rekha R Nair, Tina Babu, Alavikunhu Panthakkan +2
Wind turbine reliability is critical to the growing renewable energy sector, where early fault detection significantly reduces downtime and maintenance costs. This paper introduces…
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…
Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
Abigail Copiaco, Christian Ritz, Yassine Himeur +3
The prevalence of Autism Spectrum Disorder (ASD) has surged rapidly over the past decade, posing significant challenges in communication, behavior, and focus for affected individua…
Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis
Wafaa Kasri, Yassine Himeur, Abigail Copiaco +3
Accurate Autism Spectrum Disorder (ASD) diagnosis is vital for early intervention. This study presents a hybrid deep learning framework combining Vision Transformers (ViT) and Visi…
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,…
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…
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN
R. Geetha, S. Arulselvi, R. Tamilselvi +4
Osteoporosis causes progressive loss of bone density and strength, causing a more elevated risk of fracture than in normal healthy bones. It is estimated that some 1 in 3 women and…
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…
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features
El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane +5
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of st…
Current Topological and Machine Learning Applications for Bias Detection in Text
Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway +7
Institutional bias can impact patient outcomes, educational attainment, and legal system navigation. Written records often reflect bias, and once bias is identified; it is possible…
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…
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Hafsa Bousbiat, Yassine Himeur, Abbes Amira +1
Non-intrusive Load Monitoring (NILM) algorithms, commonly referred to as load disaggregation algorithms, are fundamental tools for effective energy management. Despite the success…
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…