Akram Bennour
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View article: Resource management optimisation of OFDM-IDMA system for 5G multi-tier backhaul networks
Resource management optimisation of OFDM-IDMA system for 5G multi-tier backhaul networks Open
View article: Unveiling Identity Through Anatomy: Person Verification Using Vision Transformers on Chest X-Rays Radiographs
Unveiling Identity Through Anatomy: Person Verification Using Vision Transformers on Chest X-Rays Radiographs Open
Context: The prospective utilization of medical imaging data for reliable individual identification and authentication has garnered significant interest in both security and healthcare sectors. This importance is particularly amplified dur…
View article: Integrating artificial intelligence in supporting students with disabilities in higher education: An integrative review
Integrating artificial intelligence in supporting students with disabilities in higher education: An integrative review Open
Artificial intelligence has the potential to significantly enhance accessibility, inclusivity, and academic performance for students with disabilities. This review investigates how AI-driven assistive technologies can support students with…
View article: Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers
Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers Open
Identifying the scriptwriter in historical manuscripts is crucial for historians, providing valuable insights into historical contexts and aiding in solving historical mysteries. This research presents a robust deep learning system designe…
View article: Deep Learning-driven Skin Disease Diagnosis: Advancing Precision and Patient-Centered Care
Deep Learning-driven Skin Disease Diagnosis: Advancing Precision and Patient-Centered Care Open
Skin diseases are in the middle of the most prevalent conditions, arising from a myriad of factors including viral infections, bacteria, allergies, and fungal pathogens. Appropriate detection of these conditions is essential for effective …
View article: Trust-Centric Blockchain Framework: A Three-Layered Architecture for Securing Open and Private Systems
Trust-Centric Blockchain Framework: A Three-Layered Architecture for Securing Open and Private Systems Open
View article: A Co-Attention Mechanism into a Combined GNN-Based Model for Fake News Detection
A Co-Attention Mechanism into a Combined GNN-Based Model for Fake News Detection Open
View article: Attention U-Net for Precision Skeletal Segmentation in Chest X-Ray Imaging: Advancing Person Identification Techniques in Forensic Science
Attention U-Net for Precision Skeletal Segmentation in Chest X-Ray Imaging: Advancing Person Identification Techniques in Forensic Science Open
View article: Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI
Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI Open
Background and Objectives: Computer-aided diagnostic systems have achieved remarkable success in the medical field, particularly in diagnosing malignant tumors, and have done so at a rapid pace. However, the generalizability of the results…
View article: Parkinson’s Disease Prediction: An Attention-Based Multimodal Fusion Framework Using Handwriting and Clinical Data
Parkinson’s Disease Prediction: An Attention-Based Multimodal Fusion Framework Using Handwriting and Clinical Data Open
Background: Neurodegenerative diseases (NGD) encompass a range of progressive neurological conditions, such as Alzheimer’s disease (AD) and Parkinson’s disease (PD), characterised by the gradual deterioration of neuronal structure and func…
View article: Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation
Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation Open
Background and Objectives: Brain tumors are complex diseases that require careful diagnosis and treatment. A minor error in the diagnosis may easily lead to significant consequences. Thus, one must place a premium on accurately identifying…
View article: From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images
From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images Open
Background/Objectives: Chest disease identification for Tuberculosis and Pneumonia diseases presents diagnostic challenges due to overlapping radiographic features and the limited availability of expert radiologists, especially in developi…
View article: Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network
Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network Open
Background/Objectives: In contrast to traditional biometric modalities, such as facial recognition, fingerprints, and iris scans or even DNA, the research orientation towards chest X-ray recognition has been spurred by its remarkable recog…
View article: Revolutionizing Historical Manuscript Analysis: A Deep Learning Approach with Intelligent Feature Extraction for Script Classification
Revolutionizing Historical Manuscript Analysis: A Deep Learning Approach with Intelligent Feature Extraction for Script Classification Open
The automated classification of historical document scripts holds profound implications for historians, providing unprecedented insights into the contexts of ancient manuscripts. This study introduces a robust deep learning system integrat…
View article: Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification
Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification Open
Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the r…
View article: Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models
Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models Open
View article: Correction to: A deep learning framework for historical manuscripts writer identification using data-driven features
Correction to: A deep learning framework for historical manuscripts writer identification using data-driven features Open