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Open access Oct 2026

MACHINE LEARNING BASED TRAFFIC FLOW PREDICTION USING URBAN TRANSPORTATION DATA

The spread of the city, rising vehicle population, and the mounting demand for transportation have contributed to making traffic a major challenge for the modern cities. The effective prediction of the traffic flow is a key to enhancing the efficiency of transportation and alleviating congestion and to aid intelligent...

Rajendra Kumar, Meenakshi Chaturvedi, N. Sehgal et al. · 0 citations
Conference Jul 2026

Advanced Machine Learning Algorithms for Hydrological Modeling: Deep Learning, Ensemble Methods, and Hybrid Approaches

The problems of water catastrophes and shortages have become one of the most urgent issues of the modern era, thereby rendering highly accurate predictions of river discharges a critical concern for governments, engineers, and climatologists. Although the conventional model of hydrological prediction based on physical...

Jyoti Kumari, Prateek Jain, Archana Sharma et al. · 0 citations

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