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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

Selvakumar Ramachandran

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2 papers indexed here

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Conference Aug 2026

LungXAI: Explainable Deep Learning for Multi-Class Lung Cancer Classification with RAG

Globally, the mortality rate caused by lung cancer is rising than any other type of neoplasm. To detect and identify the lung cancer early artificial intelligence could be utilized. This research, therefore, proposes a LungXAI framework that combines the use of a fine-tuned CNN model with Grad-CAM and Retrieval Augment...

Saksham Mann, Chirag Agrawal, Vaishnavi Jayaraman et al. · 0 citations
Conference Open access Aug 2026

X-DiaRisk: Explainable AI based Diabetes Risk Prediction from Clinical and Lifestyle Data

The interpretability analysis revealed that family history of diabetes, physical activity, and blood pressure are the most influential predictors, and the proposed X-DiaRisk framework offers a practical tool for physicians, supporting efficient screening and early identification of individuals at risk of diabetes, ther...

Tejashwin Baskaran, Siddharth Malik, Vaishnavi Jayaraman et al. · 0 citations

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