Network security situation awareness (NSSA) is an integral part of cybersecurity defense,
and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber …

Most of the research on Federated Learning (FL) has focused on analyzing global
optimization, privacy, and communication, with limited attention focusing on analyzing the …

In this article, we address the problem of an image-based automatic classification of waste
materials. Given the large number of waste categories and the importance of proper …

The recognition performance of visual recognition systems is highly dependent on extracting
and representing the discriminative characteristics of image data. Convolutional neural …

Sentiment analysis of social multimedia data has attracted extensive research interest and
has been applied to many tasks, such as election prediction and products evaluation …

To examine events identification and recognition in sequential images, approaches used
several parameters such as size, location or position of the human body parts along with its …

Imbalanced data always has a serious impact on a predictive model, and most under-
sampling techniques consume more time and suffer from loss of samples containing critical …

This article proposes a fault diagnosis (FD) method that is based on bispectrum analysis and
a convolutional neural network (CNN) to identify bearing faults under inconsistent working …

This paper addresses the problem of floods classification and floods aftermath detection
based on both social media and satellite imagery. Automatic detection of disasters such as …

Abstract Overhead Power Distribution Lines (OPDLs) correspond to a large percentage of
the medium-voltage electrical systems. In these networks, visual inspection activities are …