Abstract: In traditional fault diagnosis methods in power systems, it is difficult to accurately classify and predict the types of faults. With the emergence of big data technology, the fault ...

Abstract: The high proportion of distributed photovoltaic and electric vehicle access has a great impact on the distribution network. For hydropower-rich areas, the “hydropower, photovoltaic, storage ...

1 Department of Computer Science, Ignatius Ajuru University, Port Harcourt, Nigeria. 2 Department of Computer Science, Federal University, Yenagoa, Nigeria. Adaptability and dynamicity are special ...

Cookies are small files stored on your device when you visit a website. We use some essential cookies to make this website work. We would like to set additional cookies to remember your settings and ...

Edit distance—a classical problem in computer science—has received ongoing attention from both practitioners and theoreticians. Given two strings A and B, the edit distance is the minimum number of ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Clustering is usually the first exploratory analysis step in empirical data. When the data set comprises graphs, the most common approaches focus on clustering its vertices. In this work, we are ...

k-means clustering partitions a multi-dimensional data set into k clusters, where each data point belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077 Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong ...

The flow field obtained from streamline simulation reflects key properties of the reservoir, such as the distribution of the remaining oil and the location of channels. However, in the ...