Diabetes and its complications are seriously threatening the health and well-being of
hundreds of millions of people. Glucose levels are essential indicators of the health …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

This article presents a comprehensive review of the Active Simultaneous Localization and
Map** (A-SLAM) research conducted over the past decade. It explores the formulation …

Automatic heart disease prediction is a major global health concern. Effective cardiac
treatment requires an accurate heart disease prognosis. Therefore, this paper proposes a …

The growing complexity of data derived from Industrial Internet of Things (IIoT) systems
presents substantial challenges for traditional machine-learning techniques, which struggle …

Diabetes mellitus is characterized by elevated blood glucose levels, however patients with
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …

In this study, synergetic-based adaptive control design is developed for trajectory tracking
control of joint position in knee-rehabilitation system. This system is often utilized for …

Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …

Pressure coupled with shear stresses are the critical external factors for diabetic foot
ulceration assessment and prevention. To date, a wearable system capable of measuring in …

Reservoir computing, a type of neural network computing, is an energy-efficient and fast
machine learning method, expected to realize low-power edge processing in sensor …