Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently
a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's …

With the expansion of scale, the Internet of Things (IoT) suffers more and more security
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …

In this correspondence, we present an accurate Magnetic Resonance (MR) image Super-
Resolution (SR) method that uses a Very Deep Residual network (VDR-net) in the training …

Underwater wireless sensor networks (UWSNs) have applications in several fields, such as
disaster management, underwater navigation, and environment monitoring. Since the nodes …

Conventional crop insurance systems are complex and often not economically feasible.
Farmers are often reluctant to be covered for their crops due to lack of trust in insurance firms …

Existing methods use static path identifiers, making it easy for attackers to conduct DDoS
flooding attacks. Create a system using Dynamic Secure aware Routing by Machine …

This study implements the VLSI architecture for nonlinear‐based picture scaling that is
minimal in complexity and memory efficient. Image scaling is used to increase or decrease …

This paper aims to improve the protection of two-wheelers. This study is divided into two
parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a …

In this study, a novel application of neurocomputing technique is presented for solving
nonlinear heat transfer and natural convection porous fin problems arising in almost all …

The growth of Internet of Agriculture Things (IoAT) with wireless technologies has resulted in
significant advances for smart farming systems. However, various techniques have been …