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Edge and fog computing enabled AI for IoT-an overview
In recent years, Artificial Intelligence (AI) has been widely deployed in a variety of business
sectors and industries, yielding numbers of revolutionary applications and services that are …
sectors and industries, yielding numbers of revolutionary applications and services that are …
Cyber–physical–social frameworks for urban big data systems: A survey
The integration of things' data on the Web and Web linking for things' description and
discovery is leading the way towards smart Cyber–Physical Systems (CPS). The data …
discovery is leading the way towards smart Cyber–Physical Systems (CPS). The data …
A survey on an emerging area: Deep learning for smart city data
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …
congestion, environmental pollution, energy consumption, public safety, and so on …
A study of air pollution smart sensors lpwan via nb-iot for thailand smart cities 4.0
S Duangsuwan, A Takarn, R Nujankaew… - … on knowledge and …, 2018 - ieeexplore.ieee.org
The problem of air pollutant has to improve urgently, in particular, approach to smart city in
2024 of Thailand 4.0. This paper presents a development of smart sensors of air pollution to …
2024 of Thailand 4.0. This paper presents a development of smart sensors of air pollution to …
Data-driven air quality characterization for urban environments: A case study
The economic and social impact of poor air quality in towns and cities is increasingly being
recognized, together with the need for effective ways of creating awareness of real-time air …
recognized, together with the need for effective ways of creating awareness of real-time air …
Missing data estimation in a low-cost sensor network for measuring air quality: A case study in Aburrá Valley
Abstract According to the World Health Organization (WHO), air pollution is currently one
leading cause of death around the world. As a result, some projects have emerged to …
leading cause of death around the world. As a result, some projects have emerged to …
A system model of fault tolerance technique in distributed system and scalable system using machine learning
RG Tiwari, M Haroon, MM Tripathi… - Software-Defined …, 2024 - taylorfrancis.com
In distributed and scalable systems including cloud computing, Hadoop, spark, and large-
scale computing environments, fault tolerance is an important characteristic. During a …
scale computing environments, fault tolerance is an important characteristic. During a …
Toward semantic IoT load inference attention management for facilitating healthcare and public health collaboration: a survey
S Lim, R Rahmani - Procedia Computer Science, 2020 - Elsevier
The health of individuals and populations requires concerted and collaborative efforts by
healthcare, public health, social care, and personal health management. The inter-sectoral …
healthcare, public health, social care, and personal health management. The inter-sectoral …
Air pollution monitoring using WSN nodes with machine learning techniques: A case study
Air pollution is a current concern of people and government entities. Therefore, in urban
scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue …
scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue …
Reasoning on the edge or in the cloud?
The emergence of the Internet of Things (IoT) and the Semantic Web of Things is leading to
intensive cloud processing executing reasoning rules over large volumes of enriched data …
intensive cloud processing executing reasoning rules over large volumes of enriched data …