With the deployment of collaborative robots in intelligent manufacturing, object hand-over
between humans and robots plays a significant role in human-robot collaborations. In most …

Featured Application This paper contains a comprehensive review of the current state-of-the-
art machine vision algorithms used to build a pipeline towards assisted driving and fully …

With the rapid growth of social media networks and internet accessibility, most businesses
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …

The performance of a synthetic aperture radar automatic (SAR) target recognition system
mainly depends on feature extraction and classification. It is crucial to select discriminative …

The SVM classifier is effective in solving binary classification problems. However, in practical
problems of classification, there are often cases of the presence of more than two classes of …

Medical image classification is a basic step in medical image analysis and has been an
essential task in computer-aided diagnosis. Existing classification methods are proved to be …

To improve the dexterity of multi-functional myoelectric prosthetic hand, more accurate hand
gesture recognition based on surface electromyographic (sEMG) signal is needed. This …

Multiclass classification using Support Vector Machine (SVM) is an ongoing research issue.
SVM is mainly a binary classifier, but for classification efficiency, it is also used for multiclass …

Real-world data collected for computer-based applications are frequently impure.
Differentiation of outliers and noisy data from normal ones is a major task in data mining …

In order to achieve an audio classification aimed to identify the composer, the use of
adequate and relevant features is important to improve performance especially when the …