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Open access Oct 2026

Interpretable water and agricultural land cover in urban landscapes using CNN–ViT framework with Grad-CAM for agricultural sustainability

Accurate land-use and land-cover classification in hyper-arid environments is challenging because several surface types can exhibit overlapping spectral and spatial characteristics in Landsat imagery. These surfaces include water, irrigated agriculture, moist soil, barren land, and built-up areas. This study proposes...

Hajar Hameed Addeen, Ebrahim Mohammed Senan, Fawaz Aklan et al. · 0 citations
Open access Sep 2026

Interpretable lung-constrained RegNetY–ViT framework for pulmonary tuberculosis classification in chest X-rays with radiological feature-guided neuro-symbolic reasoning

The proposed RegNetY–ViT hybrid framework improves TB classification performance while enhancing interpretability through lesion localization and neuro-symbolic reasoning, thereby supporting more transparent and clinically meaningful decision-making in chest X-ray analysis.

I. Ahmed, Ebrahim Mohammed Senan, Awad Alyousef et al. · 0 citations
Open access Aug 2026

Prospective Validation of a Deep Learning Model to Detect Structural Heart Disease from Apple Watch ECGs: The WATCH-SHD Study

In this prospective cohort, a noise-adapted AI-ECG algorithm identified SHD phenotypes from real-world single-lead Apple Watch ECGs and improved screening efficiency, supporting a potential role for wearable ECG-based screening in the scalable identification of clinically actionable SHD.

Ashraf Aminorroaya, S. Shankar, M. Carter et al. · 0 citations

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