[HTML][HTML] Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: Advances, challenges, and opportunities

D Yu, Z He - Natural hazards, 2022 - Springer
Natural hazards, which have the potential to cause catastrophic damage and loss to
infrastructure, have increased significantly in recent decades. Thus, the construction …

Exploiting blockchain to make AI trustworthy: A software development lifecycle view

P Zhang, S Ding, Q Zhao - ACM Computing Surveys, 2024 - dl.acm.org
Artificial intelligence (AI) is a very powerful technology and can be a potential disrupter and
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …

Detecting vulnerability on IoT device firmware: A survey

X Feng, X Zhu, QL Han, W Zhou… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Internet of things (IoT) devices make up 30% of all network-connected endpoints,
introducing vulnerabilities and novel attacks that make many companies as primary targets …

Paradefender: A scenario-driven parallel system for defending metaverses

J Han, M Yang, X Chen, H Liu, Y Wang… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
The metaverse, as an instance of cyber–physical–social systems (CPSS) that originates in
cyber–physical systems (CPS), features growing complexity, and diversity in terms of …

BESIFL: Blockchain-empowered secure and incentive federated learning paradigm in IoT

Y Xu, Z Lu, K Gai, Q Duan, J Lin, J Wu… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Federated learning (FL) offers a promising approach to efficient machine learning with
privacy protection in distributed environments, such as Internet of Things (IoT) and mobile …

[HTML][HTML] A comprehensive and systematic review of the banking systems based on pay-as-you-go payment fashion and cloud computing in the pandemic era

S Zhao, J Miao, J Zhao, N Naghshbandi - Information Systems and e …, 2023 - Springer
The early identification of COVID-19 is critical to prevent the disease from spreading at the
community level. Cloud computing allows healthcare providers to enhance patient care …

IoT-enabled technologies for controlling COVID-19 Spread: A scientometric analysis using CiteSpace

D Kumar, SK Sood, KS Rawat - Internet of Things, 2023 - Elsevier
The COVID-19 outbreak has unleashed a cataclysmic impact on the daily existence of
humanity, triggering a widespread upheaval in public health and wreaking havoc on the …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

Machine and deep learning techniques, body sensor networks, and Internet of Things-based smart healthcare systems in COVID-19 remote patient monitoring

D Stone, L Michalkova, V Machova - American Journal of Medical …, 2022 - ceeol.com
In this article, we cumulate previous research findings indicating that machine learning
algorithms are pivotal in COVID-19 detection and monitoring. We contribute to the literature …

McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices

S Ahuja, BK Panigrahi, N Dey, A Taneja… - Applied Soft Computing, 2022 - Elsevier
Worldwide COVID-19 is a highly infectious and rapidly spreading disease in almost all age
groups. The Computed Tomography (CT) scans of lungs are found to be accurate for the …