Classification tasks in machine learning involving more than two classes are known by the
name of" multi-class classification". Performance indicators are very useful when the aim is …

The problem of weeds in crops is a natural problem for farmers. Machine Learning (ML),
Deep Learning (DL), and Unmanned Aerial Vehicles (UAV) are among the advanced …

Abstract Machine learning has been shown as a promising approach to mine larger
datasets, such as those that comprise data from a broad range of Internet of Things devices …

Research on clouds has an enormous influence on sky sciences and related applications,
and cloud classification plays an essential role in it. Much research has been conducted …

Research on different machine learning (ML) has become incredibly popular during the past
few decades. However, for some researchers not familiar with statistics, it might be difficult to …

Backward compatibility is a major concern for any library developer. In this paper, we
evaluate how stable a set of frequently used third-party libraries is in terms of method …

Natural landscapes have changed significantly through anthropogenic activities, particularly
in areas that are severely impacted by climate change and population expansion, such as …

In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …

Class imbalance problem (CIP) in a dataset is a major challenge that significantly affects the
performance of Machine Learning (ML) models resulting in biased predictions. Numerous …

In the last few years, most of the data such as books, videos, pictures, medical and even the
genetic information of humans are moving toward digital formats. Laptops, tablets …