The implementation of smart technology in cities is often hailed as the solution to many
urban challenges such as transportation, waste management, and environmental protection …

Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …

Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …

Bridges are designed to withstand different types of loads, including dead, live,
environmental, and occasional loads during their service period. Moving vehicles are the …

Abstract The Automated City Shuttles (ACSs) aim to shape the future public transportation
and provide more efficient and accessible mobility in smart cities. With the absence of a …

Digital technology now plays a critical role in policing and security management, with
policing apps, drones and body-worn cameras potentially being game-changers. Adoption …

Vehicle classification (VC) is an underlying approach in an intelligent transportation system
and is widely used in various applications like the monitoring of traffic flow, automated …

Vehicle make and model recognition (VMMR) is a crucial task for developing automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …

This paper presents an effective method for strengthening the discriminative ability of high-
level deep features by enhancing and aggregating discriminative part-level features for the …

Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention
recently. Particularly given the reliance on emerging deep learning methods, which have …