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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Harshala Shingne

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3 papers indexed here

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Conference Aug 2026

Real-Time Financial Fraud Detection Using Graph Attention Networks and Behavioral Pattern Analysis

Financial fraud poses a persistent and escalating threat to global economic systems, causing hundreds of billions of dollars in annual losses and severely undermining trust in digital financial infrastructure. Traditional rule-based and classical statistical detection methods have proven increasingly inadequate against...

Gurvinder Pal Singh, Vikas, Meghana Lokhande et al. · 0 citations
Open access Sep 2026

Deep learning-based multi-modal imaging for early detection of brain tumour

The proposed framework uses modality-specific CNN encoders, a Transformer based cross-modal attention module, and several fusion recipes—early fusion, late fusion, and attention-driven fusion so that tumour classification and localisation can happen at the same time.

Diptee Ghusse, Harshala Shingne, A. Yenkikar et al. · 0 citations
Aug 2026

Optimizing Cancer Drug Treatments Using Big Data Integration of Genomic and Clinical Data for Personalized Medicine.

BigCancerNet (BCN) is introduced, a robust big data framework that merges multi-source information and uses a Graph Neural Network for Cancer Treatment Optimization (GNN-CTO) to accurately forecast individual drug responses and patient survival trajectories to boost treatment success, reduce toxic side effects, and per...

A. Chimanna, Harshala Shingne, Shabana Pathan et al. · 0 citations

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