Correction: Applying machine learning algorithms and explainable AI to predict stunting and identify determinants among children under five in Ethiopia

Effects of AI-based and video instruction on machine learning competencies among computing and robotics education students

Christian Basil Omeh, Valentine Joseph Owan, Ismaila Temitayo Sanusi, Ilesanmi Olade

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,…Read more

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…Read more

Multi-classification of autism spectrum disorder behavior for children using explainable artificial intelligence techniques

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…Read more

A multi agent based autonomous machine learning framework for transparent multiclass lung cancer staging

Umar Sajid Kayani, M. Umar Khan, Niyaz Ahmad Wani, Shivam Awasthi, Avichandra Singh Ningthoujam

An advanced NLP and machine learning-based chatbot system for effective Igbo language communication

Akinbowale Nathaniel Babatunde, Bukola Fatimah Balogun, Sunday Adeola Ajagbe, Salman Olatunji Isiaka, Anthony Taiwo Olajide, Ijeoma N. Ezeji, et al.