Smart Cities

Integrated CNN and Waterwheel Plant Algorithm for Enhanced Traffic Detection
Integrated CNN and Waterwheel Plant Algorithm for Enhanced Traffic Detection

Led a team in the design and implementation of a hybrid CNN and Waterwheel Plant Algorithm (WWPA) to detect and track vehicles in global traffic data, achieving a model accuracy of 97.28%.'

Jan 1, 2024

Deep Learning Models for Predicting Traffic Patterns in Smart Cities
Deep Learning Models for Predicting Traffic Patterns in Smart Cities

Applied various deep learning architectures to predict and analyze traffic patterns in urban environments, with AlexNet emerging as the best-performing model, achieving an accuracy of 93.18%.

Dec 1, 2023