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S. Degadwala

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Open access Aug 2026

A Graph Database Approach to Multi-Hop Fraud Pattern Analysis

A graph-database-driven framework engineered for multi-hop fraud pattern analysis, representing financial entities as nodes and their interactions as explicit relationships aimed at delivering transparent, evidence-backed insight for fraud investigations is presented.

Mitra Bhargeshbhai Patel, Khyati Bane, Shreyas Patel et al. · 0 citations
Review Open access Aug 2026

Brain Tumor Detection Using Machine Learning and Deep Learning Techniques: A Comprehensive Review

An extensive overview of current deep learning and machine learning techniques for brain tumor detection from MRI images is provided in this review study, which compares advanced deep learning architectures like Convolutional Neural Networks, ResNet, U-Net, Vision Transformers, and hybrid models with conventional machi...

Vishwa Desai, S. Degadwala · 0 citations
Open access Jul 2026

Beyond the Signature: Machine Learning for Adaptive Cyber Threat Intelligence

The proposed approach treats ML as one layer of a broader defense system, combining automated pattern recognition with threat context and human expertise to improve detection speed, reduce alert fatigue, and support adaptive cyber defense.

Mitra Bhargeshbhai Patel, Bindi Bhatt, Dharvi Soni et al. · 0 citations

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