[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress

J Srivastava, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …

Artificial intelligence of things for smarter healthcare: a survey of advancements, challenges, and opportunities

S Baker, W Xiang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Agrisecure: A fog computing-based security framework for agriculture 4.0 via blockchain

S Padhy, M Alowaidi, S Dash, M Alshehri, PP Malla… - Processes, 2023 - mdpi.com
Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …

Towards an intelligent intrusion detection system to detect malicious activities in cloud computing

H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …

A systematic review on food recommender systems for diabetic patients

R Yera, AA Alzahrani, L Martínez… - International Journal of …, 2023 - mdpi.com
Recommender systems are currently a relevant tool for facilitating access for online users, to
information items in search spaces overloaded with possible options. With this goal in mind …

Analyzing and Managing Various Energy-Related Environmental Factors for Providing Personalized IoT Services for Smart Buildings in Smart Environment

P Krishnan, AV Prabu, S Loganathan, S Routray… - Sustainability, 2023 - mdpi.com
More energy is consumed by domestic appliances all over the world. By reducing energy
consumption, sustainability can be improved in domestic contexts. Several earlier …

Clinical decision support system for diabetic patients by predicting type 2 diabetes using machine learning algorithms

R Islam, A Sultana, MN Tuhin… - Journal of …, 2023 - Wiley Online Library
Diabetes is one of the most serious chronic diseases that result in high blood sugar levels.
Early prediction can significantly diminish the potential jeopardy and severity of diabetes. In …

AI enabled internet of medical things framework for smart healthcare

J Srivastava, S Routray - … on Innovations in Intelligent Computing and …, 2022 - Springer
Abstract Internet of Medical Things (IoMT) is basically the use of the Internet of Things (IoT)
in Smart Healthcare where automation in health monitoring is provided using Artificial …

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT

R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - ingentaconnect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …

Ensemble dilated convolutional neural network and its application in rotating machinery fault diagnosis

Y Cai, Z Wang, L Yao, T Lin… - Computational …, 2022 - Wiley Online Library
Fault diagnosis of rotating machinery is an attractive yet challenging task. This paper
presents a novel intelligent fault diagnosis scheme for rotating machinery based on …