D. Bhoyar

A Comparative Analysis of Transformer-based and CNN-based Object Detection Models on Low Light Images

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

A Quantum Resilient VANET Architecture (QRVA) organized into two coupled functional layers is proposed, linking detection, communication protection, performance analysis, and tamper-resistant validation in one decision loop.

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

The study introduces a unique multi-model benchmarking infrastructure, which includes both automated disease classification and a prescriptive treatment engine and an inclusive text-to-speech interface, showing that shallow CNN networks can be more accurate than deeper ones and creating a pipeline of precision agricult...

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.