Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …
Safety of autonomous vehicles
Autonomous vehicle (AV) is regarded as the ultimate solution to future automotive
engineering; however, safety still remains the key challenge for the development and …
engineering; however, safety still remains the key challenge for the development and …
Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennials
A Manfreda, K Ljubi, A Groznik - International Journal of Information …, 2021 - Elsevier
Smart cities are developing at increasing speed. Smart cities rely on the deployment of
information and communication technology (ICT) that is digitally transforming our habitats …
information and communication technology (ICT) that is digitally transforming our habitats …
A survey of emergencies management systems in smart cities
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …
interact with each other. As most people now live in urban areas, cities are experiencing …
Green smart grid predictive analysis to integrate sustainable energy of emerging V2G in smart city technologies
In recent years, the volume of data has grown exponentially. Big data analytic platforms for
the smart grid have enormous potential since they play an essential role in the decision …
the smart grid have enormous potential since they play an essential role in the decision …
Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach
Managing traffic flow at intersections in a large-scale network remains challenging. Multi-
modal signalized intersections integrate various objectives, including minimizing the queue …
modal signalized intersections integrate various objectives, including minimizing the queue …
Deep learning-based dynamic scheduling for semiconductor manufacturing with high uncertainty of automated material handling system capability
Recently, the transportation capability of the automated material handling system (AMHS)
has emerged as a major barrier to the semiconductor fabrication facility (FAB), because it …
has emerged as a major barrier to the semiconductor fabrication facility (FAB), because it …
Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network
With the enormous growth in the public and private vehicles fleet, traffic congestion is
increasing at a very high rate. To deal with this, an intelligent mechanism is required …
increasing at a very high rate. To deal with this, an intelligent mechanism is required …
A vehicle-consensus information exchange scheme for traffic management in vehicular ad-hoc networks
J Gao, G Manogaran, TN Nguyen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Vehicular Ad-Hoc Networks (VANETs) provide roadside communication for improving the
ease of driving user information exchange. It interconnects hierarchical infrastructure units …
ease of driving user information exchange. It interconnects hierarchical infrastructure units …