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Open access Aug 2026

Evaluating Answer Quality and LLM-Based Assessment in a Zero-Marginal-Cost Retrieval-Augmented Generation Agricultural Advisory System

Agricultural decision-making often depends on timely, evidence-based advice, yet advisory systems for underserved farming communities must also be cost-effective enough to operate continuously. Retrieval-augmented generation (RAG) offers a promising way to provide grounded agricultural recommendations, yet it remains u...

Taiwo Jegede, G. Obaido, Ebenezer Esenogho et al. · 0 citations
Open access Sep 2026

Leakage-Aware Explainable Alzheimer’s Disease Detection Using Ensemble-Based Tree Models and Shapley Additive Explanations

Alzheimer’s disease and dementia are leading causes of cognitive decline among older adults, creating a need for accurate, transparent, and clinically interpretable decision-support tools for routine screening. This study proposes a leakage-aware and explainable machine learning framework for dementia classification us...

G. Obaido, Ebenezer Esenogho · 0 citations
Open access Sep 2026

A Hybrid Swin Transformer and Texture Feature Framework for Histopathological Classification of Paratuberculosis

Paratuberculosis is a chronic infectious disease associated with substantial economic losses in livestock production. Histopathological examination remains an important diagnostic approach but can be time-consuming and dependent on specialist expertise, motivating the development of automated and interpretable image-cl...

Nokulunga Nhlapho, G. Obaido, Ebenezer Esenogho · 0 citations

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