Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions

TA Shaikh, T Rasool, P Verma - Artificial Intelligence in Medicine, 2023 - Elsevier
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 …

A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis

S Dixit, K Bohre, Y Singh, Y Himeur, W Mansoor… - Electronics, 2023 - mdpi.com
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

A robust intelligence regression model for monitoring Parkinson's disease based on speech signals

AM Anter, AW Mohamed, M Zhang, Z Zhang - Future Generation Computer …, 2023 - Elsevier
Parkinson's disease (PD) is a degenerative neurological disease, and early diagnosis of PD
is crucial. Monitoring PD progression from voice records is a promising technique, which is …

Retracted article: optimized intelligent data management framework for a cyber-physical system for computational applications

A Alsufyani, Y Alotaibi, AO Almagrabi… - Complex & Intelligent …, 2023 - Springer
The Editor-in-Chief and the Publisher have retracted this article. The article was submitted to
be part of a guest-edited issue. An investigation by the Publisher found a number of articles …

Fog-assisted personalized healthcare-support system for remote patients with diabetes

M Devarajan, V Subramaniyaswamy… - Journal of Ambient …, 2019 - Springer
Diabetes is featured by the high prevalence and low control resulting in high premature
mortality rate. Maintaining the blood glucose level can bring considerable medical benefits …

Fog computing-based intelligent healthcare system for the detection and prevention of mosquito-borne diseases

V Vijayakumar, D Malathi… - Computers in Human …, 2019 - Elsevier
In recent years, fog computing emerges as a proactive solution for healthcare service as it
facilitates continuous monitoring of remote patient health and early detection of mosquito …

An overview of fog data analytics for IoT applications

J Bhatia, K Italiya, K Jadeja, M Kumhar, U Chauhan… - Sensors, 2022 - mdpi.com
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …

Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements

E Avuçlu, A Elen - Medical & Biological Engineering & Computing, 2020 - Springer
Parkinson's disease is a neurological disorder that causes partial or complete loss of motor
reflexes and speech and affects thinking, behavior, and other vital functions affecting the …

A new intelligent and data-driven product quality control system of industrial valve manufacturing process in CPS

J Pang, N Zhang, Q **ao, F Qi, X Xue - Computer Communications, 2021 - Elsevier
The development of intelligent and data-driven product quality control system are emerging
as key engineering technologies for industrial manufacturing process. And many studies …