Ecoacoustics is arguably the best method for monitoring marine environments, but analyzing and interpreting acoustic data has traditionally demanded substantial human supervision resources. These bottlenecks can be addressed by harnessing contemporary methods automated audio signal analysis. This paper focuses on problem of assessing dolphin whistles using state-of-the-art deep learning methods...

Cracks in building facades are inevitable due to the age of building. found facade may be further exacerbated if not corrected immediately. Considering extensive size some buildings, there is definitely a need automate inspection routine facilitate process. The incorporation deep learning technology for classification images has proven an effective method many past civil infrastructures like pa...

Automatic detection of damaged buildings from satellite remote sensing data has become an urgent problem to rescue planners and military personnel. Unfortunately are in different dimensions shapes with roofs depending on the type material be painted. In this study, we present improved Swin-Unet approach that comprises three main operations. First, as a Unet-like pure Transformer is used for mul...

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...