[HTML][HTML] Digital twins for managing health care systems: rapid literature review
Background Although most digital twin (DT) applications for health care have emerged in
precision medicine, DTs can potentially support the overall health care process. DTs …
precision medicine, DTs can potentially support the overall health care process. DTs …
IoT‐Based Wearable Devices for Patients Suffering from Alzheimer Disease
The disorder of Alzheimer's (AD) is defined as a gradual deterioration of cognitive functions,
such as the failure of spatial cognition and short‐term memory. Besides difficulties in …
such as the failure of spatial cognition and short‐term memory. Besides difficulties in …
A novel machine-learning-based hybrid CNN model for tumor identification in medical image processing
The popularization of electronic clinical medical records makes it possible to use automated
methods to extract high-value information from medical records quickly. As essential medical …
methods to extract high-value information from medical records quickly. As essential medical …
A novel QKD approach to enhance IIOT privacy and computational knacks
The industry-based internet of things (IIoT) describes how IIoT devices enhance and extend
their capabilities for production amenities, security, and efficacy. IIoT establishes an …
their capabilities for production amenities, security, and efficacy. IIoT establishes an …
Federated learning approach to protect healthcare data over big data scenario
The benefits and drawbacks of various technologies, as well as the scope of their
application, are thoroughly discussed. The use of anonymity technology and differential …
application, are thoroughly discussed. The use of anonymity technology and differential …
Algorithmic approach to virtual machine migration in cloud computing with updated SESA algorithm
Cloud computing plays an important role in every IT sector. Many tech giants such as
Google, Microsoft, and Facebook as deploying their data centres around the world to …
Google, Microsoft, and Facebook as deploying their data centres around the world to …
A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle
A population explosion has resulted in garbage generation on a large scale. The process of
proper and automatic garbage collection is a challenging and tedious task for develo** …
proper and automatic garbage collection is a challenging and tedious task for develo** …
Cloud-based fault prediction for real-time monitoring of sensor data in hospital environment using machine learning
The amount of data captured is expanding day by day which leads to the need for a
monitoring system that helps in decision making. Current technologies such as cloud …
monitoring system that helps in decision making. Current technologies such as cloud …
A Real‐Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things
The Internet of Things (IoT) is a platform that manages daily life tasks to establish an
interaction between things and humans. One of its applications, the smart office that uses the …
interaction between things and humans. One of its applications, the smart office that uses the …
An efficient hybrid QHCP-ABE model to improve cloud data integrity and confidentiality
Cloud computational service is one of the renowned services utilized by employees,
employers, and organizations collaboratively. It is accountable for data management and …
employers, and organizations collaboratively. It is accountable for data management and …