Authors : Mrs. Sangita Mahendra Rajput , Prof. Dr Mangesh D Nikose DOI : 10.46335/IJIES.2025.10.7.10 Abstract – The emergence of deep learning models has significantly improved the accuracy of anomaly detection in surveillance, crowd analysis, and other real-world applications. However, the challenge remains to balance performance with computational efficiency, particularly for real-time applications. This study […]
READ MOREAuthors : Dr.M.V.Bramhe, Rushab Katekhaye, Manthan Raut, Sharwari Sonulkar,Yash Dhande, Mrs. Sangita Rajankar DOI : 10.46335/IJIES.2025.10.5.3 Abstract – Rainfall prediction is crucial to efficient water resource management, agriculture, and catastrophe avoidance. Statistical models have gained popularity, yet machine learning approaches are progressively boosting prediction accuracy. SARIMA stands out for the ability to understand seasonal and […]
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