[HTML][HTML] Digital twins for managing health care systems: rapid literature review

S Elkefi, O Asan - Journal of medical Internet research, 2022 - jmir.org
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 …

IoT‐Based Wearable Devices for Patients Suffering from Alzheimer Disease

W Salehi, G Gupta, S Bhatia, D Koundal… - Contrast Media & …, 2022 - Wiley Online Library
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 …

A novel machine-learning-based hybrid CNN model for tumor identification in medical image processing

G Dhiman, S Juneja, W Viriyasitavat, H Mohafez… - Sustainability, 2022 - mdpi.com
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 …

A novel QKD approach to enhance IIOT privacy and computational knacks

KK Singamaneni, G Dhiman, S Juneja, G Muhammad… - Sensors, 2022 - mdpi.com
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 …

Federated learning approach to protect healthcare data over big data scenario

G Dhiman, S Juneja, H Mohafez, I El-Bayoumy… - Sustainability, 2022 - mdpi.com
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 …

Algorithmic approach to virtual machine migration in cloud computing with updated SESA algorithm

A Kaur, S Kumar, D Gupta, Y Hamid, M Hamdi, A Ksibi… - Sensors, 2023 - mdpi.com
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 …

A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle

V Verma, D Gupta, S Gupta, M Uppal, D Anand… - Symmetry, 2022 - mdpi.com
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 developing …

Cloud-based fault prediction for real-time monitoring of sensor data in hospital environment using machine learning

M Uppal, D Gupta, S Juneja, A Sulaiman, K Rajab… - Sustainability, 2022 - mdpi.com
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 …

A Real‐Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things

M Uppal, D Gupta, N Goyal, AL Imoize, A Kumar… - …, 2023 - Wiley Online Library
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 …

An efficient hybrid QHCP-ABE model to improve cloud data integrity and confidentiality

KK Singamaneni, A Nauman, S Juneja, G Dhiman… - Electronics, 2022 - mdpi.com
Cloud computational service is one of the renowned services utilized by employees,
employers, and organizations collaboratively. It is accountable for data management and …