Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes. - Rachid Alami 002; Anjanava Biswas; Varun Shinde; Ahmad Almogren; Ateeq Ur Rehman 002; Tahseen Shaikh (IEEE Access, 2024)

Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction. - Varun Shinde; Vineet Dhanawat; Ahmad Almogren; Anjanava Biswas; Muhammad Bilal 011; Rizwan Ali Naqvi; Ateeq Ur Rehman 002 (IEEE Access, 2024)

Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation. - Anjanava Biswas; Wrick Talukdar (CoRR, 2024)

Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling. - Wrick Talukdar; Anjanava Biswas (CoRR, 2024)

FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models. - Anjanava Biswas; Wrick Talukdar (CoRR, 2024)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy. - Anjanava Biswas; Wrick Talukdar (CoRR, 2024)

Robustness of Structured Data Extraction from In-plane Rotated Documents using Multi-Modal Large Language Models (LLM). - Anjanava Biswas; Wrick Talukdar (CoRR, 2024)

Media Insights Engine for Advanced Media Analysis: A Case Study of a Computer Vision Innovation for Pet Health Diagnosis. - Anjanava Biswas (CoRR, 2024)

Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity. - Wrick Talukdar; Anjanava Biswas (CoRR, 2024)

Corrections to "Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction". - Varun Shinde; Vineet Dhanawat; Ahmad Almogren; Anjanava Biswas; Muhammad Bilal 011; Rizwan Ali Naqvi; Ateeq Ur Rehman 002 (IEEE Access, 2025)