Emerging iot applications in sustainable smart cities for covid-19: Network security and data preservation challenges with future directions

M Adil, MK Khan - Sustainable Cities and Society, 2021 - Elsevier
COVID-19 is a global infectious disease that can be easily spread by the contiguity of
infected people. To prevent from COVID-19 and reduce its impact in sustainable smart cities …

E-triage systems for COVID-19 outbreak: Review and recommendations

F Alhaidari, A Almuhaideb, S Alsunaidi, N Ibrahim… - Sensors, 2021 - mdpi.com
With population growth and aging, the emergence of new diseases and immunodeficiency,
the demand for emergency departments (EDs) increases, making overcrowding in these …

Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities

J Chen, L Ramanathan, M Alazab - Microprocessors and Microsystems, 2021 - Elsevier
The smart city adopts information and communication technology (ICT), contributing to the
growth, implementation, and advancement of sustainable development practices to address …

[PDF][PDF] A review of internet of medical things (IoMT)-based remote health monitoring through wearable sensors: a case study for diabetic patients

O AlShorman, B AlShorman… - Indonesian Journal …, 2020 - pdfs.semanticscholar.org
The latest advances and trends in information technology and communication have a vital
role in healthcare industries. Theses advancements led to the Internet of Medical Things …

Business demand for a cloud enterprise data warehouse in electronic healthcare computing: Issues and developments in e-healthcare cloud computing

A Onyebuchi, UO Matthew, JS Kazaure… - International Journal of …, 2022 - igi-global.com
Cloud enterprise data warehousing is a top level strategic business and information
technology (IT) investment initiative in any organization that is technologically inclined, profit …

Security approaches in machine learning for satellite communication

M Rath, S Mishra - Machine learning and data mining in aerospace …, 2020 - Springer
The emerging technical approach Machine Learning (ML) is apprehensive with the design
and growth of algorithms and techniques that allocate computers to “learn”. The major focus …

Advanced-level security in network and real-time applications using machine learning approaches

M Rath, S Mishra - … on Machine Learning Techniques, Methods, and …, 2022 - igi-global.com
Abstract Machine learning is a field that is developed out of artificial intelligence (AI).
Applying AI, we needed to manufacture better and keen machines. Be that as it may, aside …

The role of the Internet of Things in Healthcare in supporting clinicians and patients: A narrative review

R Lederman, O Ben-Assuli, TH Vo - Health Policy and Technology, 2021 - Elsevier
Purpose This narrative review surveys the literature on the Internet of Things (IoT) in
healthcare, organising it according to dominant trends to provide instructive examples of …

Multi-valued model checking a smart glucose monitoring system with trust

G Alwhishi, J Bentahar… - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
IoT in the e-Healthcare domain has recently seen much interest. The IoT applications in this
domain involve extensive interactions between many components within open …

Transmission range changing effects on location privacy-preserving schemes in the internet of vehicles

M Babaghayou, N Labraoui, AAA Ari… - International Journal of …, 2019 - igi-global.com
The internet of vehicles (IoV) is getting a considerable amount of attention from different
research parties. IoV aims at enhancing the driving experience with its wide range of …