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Performance and Computational Efficiency of Deep Learning Models for Anomaly Detection on the UCSD Dataset

Authors : Mrs. Sangita Mahendra Rajput , Prof. Dr Mangesh D Nikose DOI : 10.46335/IJIES.2025.10.7.10 Article Link  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. […]

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Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms

Authors : Dr.M.V.Bramhe, Rushab Katekhaye, Manthan Raut, Sharwari Sonulkar,Yash Dhande, Mrs. Sangita Rajankar DOI : 10.46335/IJIES.2025.10.5.3 Article Link  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 […]

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