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R. Agarwal

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Review Open access Aug 2026

From Print to Platform: Digital Transformation in News Media Business Models

The news media industry has undergone one of the most sustained business model disruptions of any sector in the digital economy, as advertising revenue has migrated to platform intermediaries, audiences have fragmented across social and video platforms, and generative artificial intelligence has begun to reshape both n...

Divyansh Mishra, R. Mishra, R. Agarwal · 0 citations
Review Open access Aug 2026

Machine Learning-Based Prediction of River Water Quality: A Streeter-Phelps-Grounded Simulation Framework and Comparative Model Evaluation

River water quality is governed by the interaction of hydrology, temperature-dependent biochemical kinetics, and episodic pollution loading, making both long-term trend characterization and short-term event forecasting central problems in civil and environmental engineering. This paper (i) reviews the classical Streete...

Divyansh Mishra, R. Mishra, R. Agarwal · 0 citations
Open access Sep 2026

Explainable Machine Learning for Oncological Mass Classification: Benchmarking, Threshold Optimization and Robustness Analysis

Breast cancer remains one of the most commonly diagnosed malignancies worldwide, and timely, accurate discrimination between benign and malignant breast masses is critical to reducing unnecessary biopsies while ensuring early treatment of true malignancies. This study presents a comprehensive, methodologically rigorous...

R. Agarwal, Divyansh Mishra, R. Mishra · 0 citations
Open access Sep 2026

A Hybrid Feature-Based Machine Learning Framework for Real-Time Fault Detection and Classification in Three-Phase Induction Motors

A feature-ablation analysis that identifies the sideband-energy ratio and harmonic ratio as indispensable features, a noise-robustness sweep showing Random Forest degrades most gracefully under increasing measurement noise, learning curves characterizing data efficiency, receiver operating characteristic and precision-...

Divyansh Mishra, R. Agarwal, R. Mishra · 0 citations
Review Open access Jul 2026

Artificial Intelligence as a Convergence Catalyst in the Physical and Chemical Sciences: Advances in Materials Discovery, Nanostructured Energy Storage, and Space Weather Physics

A common methodological pattern recurs across all three domains: AI is used not to replace physical theory but to navigate high-dimensional parameter spaces that are analytically or computationally intractable by classical means alone, and the strongest, most defensible results are those subjected to independent, domai...

R. Mishra, Divyansh Mishra, R. Agarwal · 0 citations

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