[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions

A Habbal, MK Ali, MA Abuzaraida - Expert Systems with Applications, 2024 - Elsevier
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

The role of IT-based technologies on the management of human resources in the COVID-19 era

S Vahdat - Kybernetes, 2022 - emerald.com
Purpose The current pandemic will introduce many novel policies, adaptations, innovations
and procedures by innovative human resource (HR) creativity. In particular, information …

Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing

L Liu, J Feng, X Mu, Q Pei, D Lan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …

[HTML][HTML] Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review

Z Lv, W Shang - Green Technologies and Sustainability, 2023 - Elsevier
With the development of smart cities, new requirements have been put forward for the
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …

Electroelastic high-order computational continuum strategy for critical voltage and frequency of piezoelectric NEMS via modified multi-physical couple stress theory

X Yu, A Maalla, Z Moradi - Mechanical Systems and Signal Processing, 2022 - Elsevier
Abstract piezoelectric structures can be used in many systems, such as nano-
electromechanical systems (NEMS) and micro-electro-mechanical systems (MEMS) devices …

Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Modelling and map** of soil erosion susceptibility using machine learning in a tropical hot sub-humid environment

R Bag, I Mondal, M Dehbozorgi, SP Bank… - Journal of Cleaner …, 2022 - Elsevier
Sobha watershed, located in the Puruliya district of West Bengal, India, is experiencing
severe soil erosion due to specific geo-environmental settings and unscientific land …

IoT-enabled social relationships meet artificial social intelligence

S Dhelim, H Ning, F Farha, L Chen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the recent advances of the Internet of Things (IoT), and the increasing accessibility to
ubiquitous computing resources and mobile devices, the prevalence of rich media contents …

Urban quantum leap: A comprehensive review and analysis of quantum technologies for smart cities

AB Bonab, M Fedele, V Formisano, I Rudko - Cities, 2023 - Elsevier
Contemporary smart city solutions rely on standardized von Neumann architecture, in which
single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on …