Poornima University

A Stacked Ensemble Framework for Detecting Generative AI–Driven Misinformation Using Multi-Modal Social Features

The rapid speed of generative artificial intelligence (GenAI) development, the creation and distribution of artificial and misinformation on the Internet have increased considerably. The common misinformation detection systems are based on traditional unimodal textual features an...

Fueling the future of ethanol: An IETB-based multi-criteria analysis in leading producer countries and regions

This study evaluates the readiness of ethanol programmes in five leading producer countries and regions (i.e., Brazil, the United States, the European Union (EU), India, and China) by integrating a multi-criteria decision-making (MCDM) framework. It combines coded qualitative and...

Comparative evaluation of decision tree and random forest models for multi-class water quality classification of the Yamuna river

Monitoring the quality of water in rivers is important for environmental sustainability. This study presents a comparison of Decision Tree (DT) and Random Forest (RF) classifiers for multi-class classification of the water quality of the Yamuna River on the basis of temperature,...