Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 using CT …
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Chronic kidney disease (CKD) is one of today's most serious illnesses. Because this disease
usually does not manifest itself until the kidney is severely damaged, early detection saves …
usually does not manifest itself until the kidney is severely damaged, early detection saves …
Design and development of consensus activation function enabled neural network-based smart healthcare using BIoT
In the healthcare region, Internet of Things (IoT) plays a major role in various fields and is
developed as a common technique. An enormous amount of data is collected from various …
developed as a common technique. An enormous amount of data is collected from various …
Online clinical decision support system using optimal deep neural networks
SK Lakshmanaprabu, SN Mohanty… - Applied Soft …, 2019 - Elsevier
Abstract The Internet of Health things (IoHT) has numerous applications in healthcare by
integrating health monitoring things like sensors and medical devices for remotely observe …
integrating health monitoring things like sensors and medical devices for remotely observe …
Smart healthcare: disease prediction using the cuckoo‐enabled deep classifier in IoT framework
A Kumar, SS Satyanarayana Reddy… - Scientific …, 2022 - Wiley Online Library
The Internet of Things (IoT) is commonly employed to detect different kinds of diseases in the
health sector. Presently, disease detection is performed using MRI images, X‐rays, CT …
health sector. Presently, disease detection is performed using MRI images, X‐rays, CT …
[PDF][PDF] Optimized tuned deep learning model for chronic kidney disease classification
In recent times, Internet of Things (IoT) and Cloud Computing (CC) paradigms are commonly
employed in different healthcare applications. IoT gadgets generate huge volumes of patient …
employed in different healthcare applications. IoT gadgets generate huge volumes of patient …
Iflbc: On the edge intelligence using federated learning blockchain network
Lately there has been an increase in the number of Machine Learning (ML) and Artificial
Intelligence (AI) applications ranging from recommendation systems to face to speech …
Intelligence (AI) applications ranging from recommendation systems to face to speech …
Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems
Emerging technological innovation toward e-Health transition is a worldwide priority for
ensuring people's quality of life. Hence, secure exchange and analysis of medical data …
ensuring people's quality of life. Hence, secure exchange and analysis of medical data …
[HTML][HTML] Cogni-Sec: A secure cognitive enabled distributed reinforcement learning model for medical cyber–physical system
The advent of the Internet of Things (IoT) has resulted in significant technical development in
the healthcare sector, enabling the establishment of Medical Cyber–Physical Systems …
the healthcare sector, enabling the establishment of Medical Cyber–Physical Systems …
A secure internet of medical things framework for breast cancer detection in sustainable smart cities
Computational intelligence (CI) and artificial intelligence (AI) have incredible roles to play in
the development of smart and sustainable healthcare systems by facilitating the integration …
the development of smart and sustainable healthcare systems by facilitating the integration …