Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …

Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

In this research, pure deterministic system has been established by a new Distributed
Energy Efficient Clustering Protocol with Enhanced Threshold (DEECET) by clustering …

Traffic management is crucial for the sustainable development of smart cities. There has
been a continuous emphasis from the research community to predict air quality and manage …

With new telecommunications engineering applications, the cognitive radio (CR) network‐
based internet of things (IoT) resolves the bandwidth problem and spectrum problem …

This systematic literature review aims to investigate the current state-of-the-art in machine
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …

Abstract Despite many advances, Handwritten Devanagari Character Recognition (HDCR)
remains unsolved due to the presence of complex characters. For HDCR, the traditional …

With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required
to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing …

Urban flow prediction is critical for urban planning, management, and safety. However,
owing to the inherent instability of urban flows, prediction accuracy requires the fusion of …