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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

D. Bhoyar

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Open access Aug 2026

Design and Validation of a Secure and Context-Aware Vehicular Ad Hoc Network (VANET) Framework Using Trust-Based Multiobjective Analysis

– Vehicular Ad Hoc Networks (VANETs) support safety-critical vehicle-to-vehicle and vehicle-to-infrastructure communication for connected transportation, but their rapidly changing topology, intermittent connectivity, decentralized data ownership, heterogeneous traffic, and persistent cyberattacks make real-time securi...

P. Jadhav, D. Bhoyar · 0 citations
Open access Jul 2026

Enhancing Plant Disease Detection through Machine Learning: A Study on CNN, SVM, VGG19, and ResNet

Purpose: The proposed study will develop an AI-assisted automated crop disease detection system for tomato, cotton, and wheat plants based on CNN, SVM, VGG19, and ResNet models, combined with an intelligent treatment recommendation system that will help farmers address diseases in a timely and effective manner. Design...

C. Tripathi, V. Taksande, U. Patel et al. · 0 citations
Open access Jul 2026

Comparative Analysis and Enhancement of Machine Learning Algorithms for Network Traffic Prediction in VANET

MGRU outperforms MNB, as MGU achieves high accuracy, high absolute throughput and packet delivery ratio, and low delay, reflecting better temporal modelling, as well as enhancing GRU and Naïve Bayes into Modified Naïve Bayes to improve VANET.

M. Chawhan, N. Chandrashekhar, S. Gaigowal et al. · 0 citations

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