Recent advancements and challenges of AIoT application in smart agriculture: A review
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …
internet of things (IoT) are the most effective paradigms that have played a vital role in …
Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings
A Arsiwala, F Elghaish, M Zoher - Energy and Buildings, 2023 - Elsevier
The revolution of the industry 4.0 presents a new era of digital transformation for the
construction industry, advancing towards the concept of digital twins, while on the other …
construction industry, advancing towards the concept of digital twins, while on the other …
[HTML][HTML] An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges
Abstract The Internet of Behaviour (IoB) is an effort to dissect behavioural patterns as
explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore …
explained by data collection. IoB is an extension of the Internet of Things (IoT). Therefore …
A federated learning framework based on incremental weighting and diversity selection for internet of vehicles
With the rapid increase of data, centralized machine learning can no longer meet the
application requirements of the Internet of Vehicles (IoV). On the one hand, both car owners …
application requirements of the Internet of Vehicles (IoV). On the one hand, both car owners …
A bandwidth control scheme for reducing the negative impact of bottlenecks in IoT environments: simulation and performance evaluation
O Said - Internet of Things, 2023 - Elsevier
Abstract The Internet of Things (IoT) environment comprises heterogeneous transmission
channels. The statuses of these channels may change rapidly due to dynamic variations in …
channels. The statuses of these channels may change rapidly due to dynamic variations in …
The advents of ubiquitous computing in the development of smart cities—A review on the internet of things (IoT)
By leveraging ubiquitous computing and the Internet of Things (IoT), smart cities gain
potential to provide a wider range of services. Different homogeneous and heterogeneous …
potential to provide a wider range of services. Different homogeneous and heterogeneous …
An end-to-end online traffic-risk incident prediction in first-person dash camera videos
H Pradana - Big Data and Cognitive Computing, 2023 - mdpi.com
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur
before the incident happens for a wide range of driving scenarios and conditions. One …
before the incident happens for a wide range of driving scenarios and conditions. One …
A step toward next-generation advancements in the internet of things technologies
The Internet of Things (IoT) devices generate a large amount of data over networks;
therefore, the efficiency, complexity, interfaces, dynamics, robustness, and interaction need …
therefore, the efficiency, complexity, interfaces, dynamics, robustness, and interaction need …
Evaluating virtualization for fog monitoring of real-time applications in mixed-criticality systems
Technological advances in embedded systems and the advent of fog computing led to
improved quality of service of applications of cyber-physical systems. In fact, the deployment …
improved quality of service of applications of cyber-physical systems. In fact, the deployment …
Federated learning-based resource management with blockchain trust assurance in smart IoT
Resource management is a key issue that needs to be addressed in the future smart Internet
of Things (IoT). This paper focuses on a Federated Learning (FL)-based resource …
of Things (IoT). This paper focuses on a Federated Learning (FL)-based resource …