Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
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 …

[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring

S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2024 - Elsevier
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 …

[HTML][HTML] Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions

SF Ahmed, MSB Alam, S Afrin, SJ Rafa, N Rafa… - Information …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) has created a wide range of opportunities for
knowledge exchange in numerous industries. The opportunities include patient …

[HTML][HTML] Radar sensor network resource allocation for fused target tracking: A brief review

J Yan, H Jiao, W Pu, C Shi, J Dai, H Liu - Information Fusion, 2022 - Elsevier
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 …

Big data and IoT-based applications in smart environments: A systematic review

Y Hajjaji, W Boulila, IR Farah, I Romdhani… - Computer Science …, 2021 - Elsevier
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 …

Deep multimodal data fusion

F Zhao, C Zhang, B Geng - ACM computing surveys, 2024 - dl.acm.org
Multimodal Artificial Intelligence (Multimodal AI), in general, involves various types of data
(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

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
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 …

A survey on machine learning for data fusion

T Meng, X **g, Z Yan, W Pedrycz - Information Fusion, 2020 - Elsevier
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 …

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 …

Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda

T Yigitcanlar, JM Corchado, R Mehmood… - Journal of Open …, 2021 - mdpi.com
The urbanization problems we face may be alleviated using innovative digital technology.
However, employing these technologies entails the risk of creating new urban problems …