openalexDiscover Artificial Intelligence2026-07-26Cited by 0
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,…
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…
Abhijeet Jadhav, Sirshendu Arosh, Tamal Mondal, Prithviraj Pramanik
Content-based video retrieval (CBVR) has become an important research area due to the rapid growth in the video data. Such escalation took place due to the ubiquitous availability of internet access, IoT devices, smartphones, and cloud-based content sharing platforms like Snapcha…
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…
Susrita Khadka, Joanne Teves Farstad, Chonthichar Soythong, Rashmi Gupta
Abstract Promotional flyers are widely used by retailers to advertise products and prices; however, extracting structured and meaningful data from them remains a significant challenge. Their highly unstructured layouts, visual clutter, and diverse design styles make data extracti…
Rasha H. Ali, Wisal Hashim Abdulsalam
Precise and interpretable classification of autism-related behaviors is important for initial diagnosis, personalized intervention, and support arrangements. This study proposes an interpretable machine learning (ML) model using Light Gradient Boosting Machine (LightGBM) and Cate…