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Dr. P. K. S. Bhadauria

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Review Open access Jul 2026

MACHINE LEARNING-BASED WATER DEMAND FORECASTING FOR EFFICIENT WATER CONSERVATION STRATEGIES: A SYSTEMATIC LITERATURE REVIEW

The findings indicate that deep learning and hybrid machine learning frameworks consistently outperform conventional forecasting techniques, particularly in complex environments characterized by high variability and climate uncertainty.

P. K. S. Bhadauria · 0 citations
Review Open access Jul 2026

Smart Traffic Flow Prediction Using Deep Learning: A Systematic Review of Recent Advances, Challenges, and Future Research Directions

This systematic review critically examines recent advancements in deep learning-based traffic flow prediction models, emphasizing studies published between 2018 and 2026 and indicates that although graph-based and transformer-based architectures currently achieve state-of-the-art predictive performance, integrating exp...

Dr. P. K. S. Bhadauria · 0 citations

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