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Author

M. Revanna

2 papers indexed here

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Review Open access Sep 2026

An explainable machine learning framework for early student dropout risk prediction and stratification

Student dropout remains a persistent challenge in higher education institutions, affecting academic continuity, institutional performance, and long-term socioeconomic outcomes. Early identification of at-risk students enables timely intervention and improved retention strategies. This study proposes an explainable mach...

Vinayak Hegde, Anuvarshini Palaniswamy, Doyel Bhar et al. · 0 citations
Aug 2026

Lotus (Nelumbo nucifera) Seed Powder as a Novel Ingredient for the Formulation of Biscuits: Physical, Nutritional Characteristics, Sensory Attributes and Consumer Acceptability

ABSTRACT The study explored the potential of lotus seed flour (LSF) as a functional ingredient in biscuits, to improve their nutritional value. Biscuits were made with 20%, 40%, and 60% LSF while control made with 100% refined wheat flour. The control biscuit exhibited the highest overall acceptability, while among the...

Ashoka Shankarappa, M. Revanna · 0 citations

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