[HTML][HTML] Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications
An individual's health is one of the essential aspects of life, but due to the limited technology
at health care centers, many people face various restrictions during their treatment. These …
at health care centers, many people face various restrictions during their treatment. These …
[HTML][HTML] A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: problems, challenges and solutions
Protecting private data in smart homes, a popular Internet-of-Things (IoT) application,
remains a significant data security and privacy challenge due to the large-scale …
remains a significant data security and privacy challenge due to the large-scale …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
A hybrid machine learning model for timely prediction of breast cancer
Breast cancer is one of the leading causes of untimely deaths among women in various
countries across the world. This can be attributed to many factors including late detection …
countries across the world. This can be attributed to many factors including late detection …
[HTML][HTML] Navigating the nexus of AI and IoT: A comprehensive review of data analytics and privacy paradigms
A Marengo - Internet of Things, 2024 - Elsevier
Abstract Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) has propelled
technological innovation across various industries. This systematic literature review explores …
technological innovation across various industries. This systematic literature review explores …
A review of artificial intelligence in embedded systems
Z Zhang, J Li - Micromachines, 2023 - mdpi.com
Advancements in artificial intelligence algorithms and models, along with embedded device
support, have resulted in the issue of high energy consumption and poor compatibility when …
support, have resulted in the issue of high energy consumption and poor compatibility when …
Adversarial ML-based secured cloud architecture for consumer Internet of Things of smart healthcare
The profound era of cloud computing (CC) is revolutionizing Industry 5.0 in which users
have online access to network services including better, transparent user management and …
have online access to network services including better, transparent user management and …
Development of a low-power IoMT portable pillbox for medication adherence improvement and remote treatment adjustment
Patients usually deviate from prescribed medication schedules and show reduced
adherence. Even when the adherence is sufficient, there are conditions where the …
adherence. Even when the adherence is sufficient, there are conditions where the …
Deep neural networks for spatial-temporal cyber-physical systems: A survey
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …
computational elements into physical processes to facilitate the control of physical systems …
Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis
C Wu, H Xu, D Bai, X Chen, J Gao, X Jiang - BMJ open, 2023 - bmjopen.bmj.com
Objectives Medical artificial intelligence (AI) has been used widely applied in clinical field
due to its convenience and innovation. However, several policy and regulatory issues such …
due to its convenience and innovation. However, several policy and regulatory issues such …