IoT for smart cities: Machine learning approaches in smart healthcare—A review
Smart city is a collective term for technologies and concepts that are directed toward making
cities efficient, technologically more advanced, greener and more socially inclusive. These …
cities efficient, technologically more advanced, greener and more socially inclusive. These …
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review
During the COVID-19 pandemic, the patient care delivery paradigm rapidly shifted to remote
technological solutions. Rising rates of life expectancy of older people, and deaths due to …
technological solutions. Rising rates of life expectancy of older people, and deaths due to …
[HTML][HTML] Is human digital twin possible?
W Shengli - Computer Methods and Programs in Biomedicine …, 2021 - Elsevier
Abstract While Digital Twin finds its applications in many fields, mainly in advanced
manufacturing, PLM (Product Lifecycle Management), and smart healthcare, attempt of …
manufacturing, PLM (Product Lifecycle Management), and smart healthcare, attempt of …
A survey on security and privacy issues in modern healthcare systems: Attacks and defenses
Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
healthcare systems more efficient than before. Modern healthcare devices can monitor and …
An efficient CNN-based deep learning model to detect malware attacks (CNN-DMA) in 5G-IoT healthcare applications
The role of 5G-IoT has become indispensable in smart applications and it plays a crucial
part in e-health applications. E-health applications require intelligent schemes and …
part in e-health applications. E-health applications require intelligent schemes and …
Secure data transmission in internet of medical things using RES-256 algorithm
SM Nagarajan, GG Deverajan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, the concept of cryptographic algorithms is used as an efficient access control
mechanism for Internet of Medical Things-based health care system. The algorithms, such …
mechanism for Internet of Medical Things-based health care system. The algorithms, such …
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
VS Naresh, M Thamarai - Wiley Interdisciplinary Reviews: Data …, 2023 - Wiley Online Library
Data mining (DM) and machine learning (ML) applications in medical diagnostic systems
are budding. Data privacy is essential in these systems as healthcare data are highly …
are budding. Data privacy is essential in these systems as healthcare data are highly …
Attacks and countermeasures in IoT based smart healthcare applications
The perpetual evolution of IoT continues to make cities smart beyond measure with the
abundance of data transactions through expansive networks. Healthcare has been a …
abundance of data transactions through expansive networks. Healthcare has been a …
Resource-efficient authenticated data sharing mechanism for smart wearable systems
Recent technological developments in the wearable devices (WDs) and smartphones
enabled ubiquitous and always-on monitoring of the users' movements. WDs collect the …
enabled ubiquitous and always-on monitoring of the users' movements. WDs collect the …
Machine learning techniques for intrusion detection in smart healthcare systems: A comparative analysis
A Basharat, MMB Mohamad… - 2022 4th International …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has infiltrated nearly every aspect of life. Smart healthcare
systems (SHS) are one of the most important sectors where IoT solutions are frequently …
systems (SHS) are one of the most important sectors where IoT solutions are frequently …