Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

Regulators are faced with many challenges surrounding health data usage, including
privacy, fragmentation, validity, and generalizability, especially in the European Union, for …

This study aims to explore the construction of a personalized recommendation system (PRS)
based on deep learning under the hybrid blockchain model to further improve the …

Patients often visit several hospitals to obtain medication, generating a significant volume of
data. Moreover, hospitals use different data analytic techniques to improve healthcare …

This study proposes a Hybrid AlexNet-Extreme Learning Machine (ELM) approach for breast
cancer diagnosis using mammography images. Batch normalization is applied to improve …

The lack of new and advanced technologies, such as the Internet of Things (IoT) and Fog
computing, makes it challenging to trace the origin of agricultural products in supply chains …

This study to solve the information storage problem in the current medical system analyzes
the privacy and security effects of the blockchain (BC) in the Internet of Medical Things …

Alzheimer's disease is a neurodegenerative disease that is very universal and characterized
by memory loss and cognitive function decline which ultimately leads to dementia. In 2015, it …

Nowadays, many security service providers have their own vulnerability databases and
consider them as corporate property. How to ensure the normal use of client while protecting …

Most of the neural network architectures are based on human experience, which requires a
long and tedious trial-and-error process. Neural architecture search (NAS) attempts to detect …