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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Shilpa Gite

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Conference Aug 2026

Efficientnet-B0 and Vlm-Based Explainable Framework for Diabetic Retinopathy Detection and Severity Grading

Diabetes mellitus (DM) is one of the most common causes of preventable blindness in the world, and DR is a major cause of working-age adults losing their vision. Mass screening programmes are necessary but limited by the availability of trained ophthalmologists, and the cost of such programmes. This paper introduces a...

Varsha Pandagre, N. Deshpande, Shilpa Gite · 0 citations
Conference Aug 2026

Dual-Signal Explainability for LLM-Based Automated Grading and Feedback: A Pilot Study

The provision of prompt and customized feedback on student responses in descriptive questions continues to be a difficult problem for educators in virtual and hybrid education systems. The paper introduces the Explainable AI Grading Framework (XAIGF), which is a fusion of two paradigms - semantic evaluation through Lar...

Pratap P. Nayadkar, Shilpa Gite, Swati Sharma et al. · 0 citations
Open access Aug 2026

Blockchain-anchored multi-discriminator GAN architecture for real-time zero-day attack detection in social IoT edge networks with explainable audit trails

BMG-Sentinel is presented, a multi-discriminator GAN architecture that combines a synthetic edge-traffic generator; three complementary discriminators reasoning over signature, behavioural and topological evidence; a permissioned Hyperledger Fabric ledger that records threshold-signed on-chain detection digests while p...

S. Kanawade, N. Deshpande, Shilpa Gite et al. · 0 citations
Open access Jul 2026

General-purpose named entity recognition using transformer-based fine-tuned approach

A transformer-based fully fine-tuned XLNet model with 117M parameters is proposed, designed to recognize and extract named entities form general domain data and can be used for content recommendation, information retrieval in Q&A systems.

Parth Goel, A. Bhatt, Biswajeet Pradhan et al. · 0 citations

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