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] 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 …

[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 …

A survey on machine learning for data fusion

T Meng, X Jing, 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 …

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 …

On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

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 …