Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Fog computing approaches in IoT-enabled smart cities
M Songhorabadi, M Rahimi… - Journal of Network and …, 2023 - Elsevier
These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …
and security-crucial applications (such as emergency fire events, patient health monitoring …
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
Security and privacy issues in smart cities/industries: technologies, applications, and challenges
PM Rao, BD Deebak - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The development of the Internet of things (IoT) is rapidly growing everywhere in our daily
lives. Advanced information and communication technologies play a vital role in the …
lives. Advanced information and communication technologies play a vital role in the …
Machine learning approaches for sustainable cities using internet of things
As these tech-based cities continue to emerge, so do the experts dive deeper into the
research on the various Internet of Things methods, and the most plausible machine …
research on the various Internet of Things methods, and the most plausible machine …
Barriers to artificial intelligence adoption in smart cities: A systematic literature review and research agenda
Artificial intelligence (AI) plays a prominent role in smart cities' development and offers
benefits to different services such as finance, healthcare, security, agriculture, transport …
benefits to different services such as finance, healthcare, security, agriculture, transport …
IoT-enabled smart cities: Evolution and outlook
For the last decade the Smart City concept has been under development, fostered by the
growing urbanization of the world's population and the need to handle the challenges that …
growing urbanization of the world's population and the need to handle the challenges that …
Research roadmap of service ecosystems: A crowd intelligence perspective
X Xue, G Li, D Zhou, Y Zhang, L Zhang… - … Journal of Crowd …, 2022 - ieeexplore.ieee.org
With the mutual interaction and dependence of several intelligent services, a crowd
intelligence service network has been formed, and a service ecosystem has gradually …
intelligence service network has been formed, and a service ecosystem has gradually …
Concept drift adaptation techniques in distributed environment for real-world data streams
Real-world data streams pose a unique challenge to the implementation of machine
learning (ML) models and data analysis. A notable problem that has been introduced by the …
learning (ML) models and data analysis. A notable problem that has been introduced by the …
Smart city ontologies and their applications: A systematic literature review
A De Nicola, ML Villani - Sustainability, 2021 - mdpi.com
The increasing interconnections of city services, the explosion of available urban data, and
the need for multidisciplinary analysis and decision making for city sustainability require new …
the need for multidisciplinary analysis and decision making for city sustainability require new …