Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
The promise of digital healthcare technologies
Digital health technologies have been in use for many years in a wide spectrum of
healthcare scenarios. This narrative review outlines the current use and the future strategies …
healthcare scenarios. This narrative review outlines the current use and the future strategies …
A provably-secure authenticated key agreement protocol for remote patient monitoring IoMT
With the continuous improvement of the public medical system, the current medical service
industry is more intelligent. The Internet-of-Medical-Things (IoMT) plays a significant role in …
industry is more intelligent. The Internet-of-Medical-Things (IoMT) plays a significant role 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 …
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 …
A Secure Framework based On Hybrid Cryptographic Scheme and Trusted Routing to Enhance the QoS of a WSN
M Sirajuddin, C Ravela, SR Krishna… - … , Technology & Applied …, 2024 - etasr.com
Abstract Achieving Quality of Service (QoS) in Wireless Sensor Networks (WSNs) is
challenging, due to their dynamic nature, and many parameters must be taken into account …
challenging, due to their dynamic nature, and many parameters must be taken into account …
A fog-cluster based load-balancing technique
The Internet of Things has recently been a popular topic of study for develo** smart
homes and smart cities. Most IoT applications are very sensitive to delays, and IoT sensors …
homes and smart cities. Most IoT applications are very sensitive to delays, and IoT sensors …
[HTML][HTML] Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative …
Abstract Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT),
often called as IoT in healthcare, refers to medical devices and applications with internet …
often called as IoT in healthcare, refers to medical devices and applications with internet …
Performance evaluation of the deep learning based convolutional neural network approach for the recognition of chest X-ray images
Recent advancement in the field of deep learning has provided promising performance for
the analysis of medical images. Every year, pneumonia is the leading cause for death of …
the analysis of medical images. Every year, pneumonia is the leading cause for death of …
[Retracted] Deep Learning Model for Automatic Classification and Prediction of Brain Tumor
A brain tumor (BT) is an unexpected growth or fleshy mass of abnormal cells. Depending
upon their cell structure they could either be benign (noncancerous) or malign (cancerous) …
upon their cell structure they could either be benign (noncancerous) or malign (cancerous) …