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openalexDiscover Artificial Intelligence2026-07-24

A lightweight federated deep learning framework for privacy-preserving fetal ultrasound analysis

VENINGSTON KOILDURAI, Gazala Mushtaq

The Sustainable Development Goals (SDGs) are concerned with the prevention of stillbirths and promotion of maternal issues to achieve Good Health and Well-being. Ultrasound technology is a crucial component in maternal services because it is a safe, non-invasive, and real-time me…

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openalexDiscover Artificial Intelligence2026-07-26

A dual-architecture deep learning pipeline for real-time high-accuracy Arabic sign language recognition

Asmaa Y. Othman, Amira Gaber, Shereen M. El-Metwally

This paper presents a dual-architecture deep learning pipeline for real-time Arabic Sign Language (ArSL) recognition, designed to enhance communication accessibility for the Deaf and Hard of Hearing community. The current system recognises only isolated static Arabic letters; ext…

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openalexDiscover Artificial Intelligence2026-07-26

Interpretable machine learning models for pediatric type 1 diabetes risk assessment

Yuda Syahidin, Nur Ulfa Maulidevi, Cissy Rachiana Sudjana Prawira, Kridanto Surendro

This study identifies clinically meaningful predictors of pediatric type 1 diabetes (T1D) risk from fully anonymized retrospective health records to support early-risk screening and clinician-facing decision support. The dataset comprises anthropometric, biochemical, autoimmune,…

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openalexDiscover Artificial Intelligence2026-07-23

Deep learning-based evaluation system for assessing actor performance using facial images

H. Varun Chand, Seema Sabharwal, Weiwei Jiang, Syarul Azlina Sikandar, Edeh Michael Onyema, Oby Modest Ogbuoka

In cinema, audiences are often mesmerized by the performance of actors/actresses due to their seamless acting skills. Despite enacting every expression aptly, sometimes these performers have to face bias in the industry, be it nepotism, unfair opportunities or any other factors.…

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openalexDiscover Artificial Intelligence2026-07-26

Interpretable student physical performance classification in physical education using a hybrid attentive tabular network (HAT-Net)

Wen Mao

Automated responses of the student body performance in Physical Education (PE) settings as the objective forecasting of individual levels of physiological performance and fitness through the standardised cross-sectional measures has been a critical issue because of the subjectivi…

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openalexDiscover Artificial Intelligence2026-07-26

Artificial intelligence enabled food quality assessment through digital sensing and explainable analytics

Suraja Parida, Sanjukta Dasgupta

Ensuring food quality and safety has become increasingly challenging due to globalization of food supply chains, rising food adulteration, increasing consumer expectations, and stringent regulatory requirements. Conventional food quality assessment methods are often labor-intensi…

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