Detecting and recognizing objects are crucial steps in interpreting remote sensing images.
At present, deep learning methods are predominantly employed for detecting objects in …

The intelligent transport system (ITS), which gets beyond the drawbacks of the conventional
transport system, has become a crucial element and is frequently used in smart cities. This …

Quantum computing, a field utilizing the principles of quantum mechanics, promises great
advancements across various industries. This survey paper is focused on the burgeoning …

The rise of autonomous electric vehicles (AEVs) offers a promising solution to many of the
challenges faced by urban transportation systems, including traffic congestion, pollution, and …

Algorithms for the computation of alternative routes in road networks power many
geographic navigation systems. A good set of alternative routes offers meaningful options to …

The rising popularity of intelligent vehicles has led to a significant surge in the volume of
data that these vehicles generate. As a result, there is an urgent need for effective and …

This research study provides a comprehensive review of the current status and future
directions of electric vehicle (EV) safety standards and regulations. The study reveals that …

Traffic congestion has become a critical issue in metropolitan areas, inflicting significant
hardships on individuals on a daily basis. This adverse situation poses multifaceted …

Abstract Mobility-as-a-Service (MaaS) solutions usually aim at defining an integrated and
multi-modal framework to make sustainable mobility choices easier and seamless …

This research abstract presents the current trends and future directions in electric vehicle
battery thermal management systems (BTMS). The study highlights that BTMS are crucial for …