Author

Ahmad Jalal

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Oct 2026

AI-driven biosensor data fusion for multimodal activity recognition in health monitoring systems.

BackgroundAI-driven healthcare monitoring systems are increasingly being developed to support elderly individuals through continuous and discreet monitoring of routine behavioral patterns.ObjectiveThis study aims to develop a multimodal framework for identifying mobility patterns by integrating inertial and vision-base...

I. Abro, Fatimah Alhayan, Hadeel Alsolai et al. · Technology and Health Care · 0 citations

Open access Sep 2026

Asymmetric Dual-Stream Transformers for AI-Driven Vision-Based Human Movement Assessment via Deep Features and GAT Classifier

The integration of AI vision-based sensing and human motion analysis has grown to be a key element of intelligent perception systems, which now allow for automated interpretation of human movement, activity patterns, and complex visual behaviors. However, accurate functional movement assessment from monocular aerial an...

Bader Aldughayfiq, Rehana Bibi, Hisham Allahem et al. · Symmetry · 0 citations

Open access Sep 2026

Hybrid Multi-Domain ECG Feature Learning with mRMR and CNN–Transformer for Cardiac Disease Classification

Cardiovascular disease diagnosis requires accurate and timely analysis of electrocardiogram (ECG) signals to support reliable clinical decision-making. However, ECG signals are inherently non-stationary, exhibit substantial inter-patient variability, and may share similar morphological patterns across different cardiac...

Mohammed Alnusayri, Sara Mumtaz, Bader Aldughayfiq et al. · Bioengineering · 0 citations

Sep 2026

SomniTrack: A Multimodal Attention Framework with Neuro-Topographic Sleep Staging and Disorder Classification

Sleep staging and obstructive sleep apnea (OSA) detection are central to sleep medicine, yet remain con-strained by the complexity of full polysomnography (PSG) and the subjectivity of manual scoring. We present SomniTrack, a multimodal framework that integrates EEG and ECG to automate sleep assessment without relyin...

Aleena Kamal, Yan-Feng Wu, Shaheryar Najam et al. · Physica Scripta · 0 citations

Open access Jul 2026

Hybrid Vision Transformer–CNN Architecture with Optimized Feature Selection for Skin Cancer Classification

The proposed framework effectively integrates novel preprocessing, segmentation, hybrid feature representation, feature optimization, and classification strategies to improve the robustness and accuracy of automated skin cancer classification and demonstrates its potential to support reliable computer-aided diagnosis a...

Abrar Almjally, Munazza Aziz, Shaheryar Najam et al. · Diagnostics · 0 citations

Open access Aug 2026

AI-Driven Tumor Characterization and Histological Subtype Classification in Lung Cancer Using CT Imaging

The proposed framework effectively incorporated MedSAM-based tumor segmentation, radiomic feature analysis, and deep feature representation and sequential dependency modeling all in a single diagnostic workflow for lung cancer evaluation and diagnosis.

Mohammad Shorfuzzaman, Abdullah Iftikhar, Shaheryar Najam et al. · Diagnostics · 0 citations