In recent years, numerous Machine Learning (ML) models, including Deep Learning (DL)
and classic ML models, have been developed to detect software vulnerabilities. However …

By creating an effective prediction model, SDP helps to find the possible problems in recent
components of software earlier. The model's effectiveness was harmed by characteristics …

This paper proposes an ensemble forecasting model for carbon market volatility with
structural factors and non-structural Baidu search index. Firstly, wavelet analysis is …

Defects are frequent in software systems, and they can cause a lot of issues for users.
Despite the fact that many studies have been conducted on employing software product …

Software defect prediction (SDP) is a technique that uses known software features and
defect information to predict target software defects. It helps reduce software development …

Rice is an important food crop for human beings. Accurately distinguishing different varieties
and sowing methods of rice on a large scale can provide more accurate information for rice …

The existence of software problems in IoT applications caused by insufficient source code,
poor design, mistakes, and insufficient testing poses a serious risk to functioning and user …

Data mining is a knowledge discovery of the data that extracts and discovers patterns and
relationships to predict outcomes. Class imbalance is one of the obstacles that can drive …