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Sep 2026

Temporal feature engineering for agricultural commodity price forecasting in Nigeria: evaluating machine learning, deep learning and time-series approaches

This study investigates the effectiveness of machine learning, deep learning and traditional time-series approaches for predicting agricultural commodity prices in Nigeria, focussing on improving forecasting reliability through temporal feature engineering and time-aware evaluation using the WFP Nigeria dataset....

D. Ogunjobi, R. Shibl, Shahrzad Saremi · 0 citations
Review Open access Jul 2026

EGenAI-DBR: a design-based framework for responsible generative AI integration in higher education

The EGenAI-DBR framework represents the first empirically tested synthesis of DBR, academic integrity and GenAI integration, operationalised through the CSIM, offering an institutionally accessible model applicable across diverse higher education contexts.

Shahrzad Saremi, Mansooreh Mirzaei, Ahmad Rasti et al. · 0 citations

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