Labeled samples are important in achieving land cover change detection (LCCD) tasks via
deep learning techniques with remote sensing images. However, labeling samples for …

In recent years, with the gradual depletion of shallow mineral resources, the exploitation of
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …

The integration of Renewable Energy Resources (RERs) into electrical grids introduces
significant challenges concerning the reliability and stability of the grid. This paper focuses …

This paper proposes an AI-powered intrusion detection method that improves intrusion
detection performance by increasing the quality of the training set and employing numerous …

Current intrusion detection systems, which rely on signature-based detection using rules
derived from the inspection of past traffic flows and their signatures, are incapable of …

This paper proposes a method that combines random forest technology (RF) and a genetic
algorithm (GA) for optimal design of traction motors for electric vehicles (EVs). The target …

Utilizing of 5G technology has become a major focus in the development of more advanced
and efficient telecommunications networks. In this context, 5G coverage prediction becomes …

The popularity of today's web application has led to web servers frequently the objects of
webshell attacks. In this paper, we propose a new deep inspection method that is composed …

Currently, pattern-based detection is difficult to detect new network attacks with signatures.
Thus, using machine learning is an approach proposed by many researchers for intrusion …

Recent advances in machine learning, specifically transformer architecture, have led to
significant advancements in commercial domains. These powerful models have …