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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

A. Lakkshmanan

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3 papers indexed here

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Conference Aug 2026

Intelligent Traffic Optimization Using Reinforcement Learning & Agentic AI - Digital Twin Simulation

Traffic jam is an unresolved issue in the burgeoning urban centres culminating in the excess of delays, increased fuel usage and high levels of green house gasses. The traditional traffic signal systems are run on a set timing schedule that fails to adapt to the fluctuations that occur in the traffic, thus wasting the...

Billasonti Mohan Nageswara Rao, Manukuri Likith Kumar, S. Nagadevi et al. · 0 citations
Conference Aug 2026

Signsight: An Edge-AI Based Multimodal Assistive Framework for OCR, Isolated Sign Recognition, and Scene-to-Speech Feedback

EdgeAssist is a multimodal Edge-AI Assistive Framework with integrated sign language recognition, OCRbased text extraction, scene-aware object detection and speech interaction in a single local application to support accessibility. The framework uses MediaPipe hand landmark extraction, a Random Forest hand sign recogni...

Tushar Manohar Mumbaikar, Shaik Munawar, N. C et al. · 0 citations
Conference Aug 2026

From Graph Neural Networks to Large Language Models: A Comprehensive Review of Deep Learning-Based Drug—Drug Interaction Prediction

Drug-drug interactions (DDIs) are a major cause of adverse drug reactions, therapeutic failure, hospitalization, and mortality, particularly among elderly patients and individuals receiving multiple medications (polypharmacy). The mechanisms for the development of DDIs are either through pharmacokinetic effects, such a...

Kamatchi P. M., A. Lakkshmanan · 0 citations

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