A timely critical condition detection and early notification are two essential requirements in a
healthcare wireless body area network for the correct treatment of patients. However, most of …

Purpose The purpose of this paper is to apply recurrent neural networks (RNNs) and more
specifically long-short term memory (LSTM)-based ones for mental task classification in …

Support vector machine (SVM) is a widely used machine learning method in analog circuit
fault diagnosis. However, SVM parameters such as kernel parameters and penalty …

Stroke is one of the diseases that affect humans, leading to death and disability. It occurs
when some tissues in the brain die. This causes the blockage or rupture of blood vessels in …

Investment estimation is a key component of early decision-making for a construction
project, which is crucial to the project cost control. Currently, most investment estimation …

Metaheuristic‐based optimization algorithms can be used to solve the complexities in
estimating the parameters and states of a complex nonlinear process. In this work, a …

Landslide susceptibility analysis is beneficial information for a wide range of applications,
including land use management plans. The present attempt has shed light on an efficient …

Acute sinusitis is the most common form of sinusitis, and it causes swelling and inflammation
within the nose. The main thing that can causes sinusitis is probably due to viruses, and also …

Nowadays, one of the most powerful side channel attacks (SCA) is profiled attack. Machine
learning algorithms, for example support vector machine, are currently used for improving …

The curse of dimensionality produced by the fast proliferation of information science will
have a detrimental impact on the machine learning model's performance. In the data mining …