This paper gives an overview of the different research works related to electromyographic
signals (EMG) classification based on Support Vector Machines (SVM). The article …

The biometric system includes the algorithms, procedures, and devices which are utilized for
the purpose of recognizing individuals according to their behavioral and physiological …

Classification of images is an essential task that seeks to interpret up an entire picture
overall. By attaching it to a particular label, the purpose is to identify the image. Image …

Network function virtualization (NFV) enables flexible deployment of virtual network function
(VNF) in 5G mobile communication network. Due to the inherent dynamics of network flows …

Typical methods for the analysis of mixture components include multiple linear regression,
partial linear squares, and artificial neural network. However, these methods need large …

Medical image classification is an essential task in the field of combining medical
applications with Artificial Intelligence. This study is carried out to introduce an accurate …

Neonatal infants communicate with us through cries. The infant cry signals have distinct
patterns depending on the purpose of the cries. Preprocessing, feature extraction, and …

Purpose During the slicing process, thermoelectric cooler (TEC) component are prone to
cause various defects, such as cracks, pockmarks, and other defects of various shapes and …

Recent developments in machine learning engendered many algorithms designed to solve
diverse problems. More complicated tasks can be solved since numerous features included …

Machine learning (ML) based classification methods have been viewed as one kind of
alternative solution for cooperative spectrum sensing (CSS) in recent years. In this paper …