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AI-Empowered Healthcare Insurance Fraud Detection Using Block chain

Authors :  Gaurav Kumar Singh, Himanshu Kumar, Jafarullah Ansari , Mrs. M. Priyanga , Dr. M. Chandran DOI : 10.46335/IJIES.2025.10.7.15 Abstract – This project introduces an AI-empowered healthcare fraud detection system using blockchain for secure and transparent medical insurance claims. AI models detect anomalies, while blockchain ensures tamper-proof records, reducing fraud and improving claim verification. […]

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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 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 […]

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