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 ...
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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 ...
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.
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 ...
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...
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