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Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …
knowledge exchange in numerous industries. The opportunities include patient …
[HTML][HTML] Radar sensor network resource allocation for fused target tracking: A brief review
Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …
manner, in which multiple nodes independently detect or track target first, and then send …
Big data and IoT-based applications in smart environments: A systematic review
This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …
environments. The aim is to identify key areas of application, current trends, data …
Deep multimodal data fusion
Multimodal Artificial Intelligence (Multimodal AI), in general, involves various types of data
(eg, images, texts, or data collected from different sensors), feature engineering (eg …
(eg, images, texts, or data collected from different sensors), feature engineering (eg …
Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
A survey on machine learning for data fusion
Data fusion is a prevalent way to deal with imperfect raw data for capturing reliable, valuable
and accurate information. Comparing with a range of classical probabilistic data fusion …
and accurate information. Comparing with a range of classical probabilistic data fusion …
Internet of Thing (IoT) review of review: Bibliometric overview since its foundation
A Sadeghi-Niaraki - Future Generation Computer Systems, 2023 - Elsevier
Abstract The Internet of Things (IoT) uses embedded sensors and networks to intelligently
connect our surrounded objects and improve quality of life. A huge number of review …
connect our surrounded objects and improve quality of life. A huge number of review …
Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda
The urbanization problems we face may be alleviated using innovative digital technology.
However, employing these technologies entails the risk of creating new urban problems …
However, employing these technologies entails the risk of creating new urban problems …