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S. Degadwala

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Open access Aug 2026

A Graph Database Approach to Multi-Hop Fraud Pattern Analysis

Modern financial fraud rarely occurs in isolation; bad actors increasingly rely on coordinated networks spanning accounts, devices, merchants, synthetic identities, and network identifiers. A transaction that appears entirely legitimate when evaluated individually often reveals suspicious behavior once its broader rela...

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

One of the most dangerous neurological conditions is brain tumors, and better patient survival and efficient treatment planning depend on an early and precise diagnosis. The most popular imaging method for identifying brain tumors is magnetic resonance imaging (MRI), which offers a thorough image of brain structures wi...

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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