[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review
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 …
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
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …
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 …
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
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 …
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 …
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 …
electromechanical systems (NEMS) and micro-electro-mechanical systems (MEMS) devices …
Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches
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 …
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
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 …
severe soil erosion due to specific geo-environmental settings and unscientific land …
IoT-enabled social relationships meet artificial social intelligence
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 …
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
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 …
single data units are coded as “0” or “1.” Conversely, urban quantum technologies rely on …