One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term ...

This project demonstrates various sampling techniques applied to a highly imbalanced dataset for credit card fraud detection. The dataset is used to predict fraudulent transactions, where the target ...

Various innovative techniques have emerged, including co-clustering on bipartite graphs, guided sampling strategies, and density-guided incremental exploration, all aimed at enhancing the accuracy ...

You can put up one piece and start building a cluster organically around it. Or you can plot a simple arrangement to start with it, and add to it as you acquire pieces that speak to you. I went with ...

Cluster B disorders are marked by inappropriate, volatile emotionality and often unpredictable behavior. The disorders in Cluster B are antisocial personality disorder, borderline personality ...

The approach integrates the Adaptive Moving Self-Organizing Map (AMSOM), a neural network technique for unsupervised training and tissue segmentation, with K-means clustering and Principal Component ...

2. TASO has better reconstruction effect at low sampling rate. 3. Adaptive sampling reference light model improves the ability to suppress noise. 4. The delay difference calculation method solves the ...

2022.3150403. Introduction: Cluster analysis is widely studied and used in diverse fields. Despite that many clustering methods have been proposed, it is rare for a clustering method to perform well ...

A new way to study 3D maps of galaxies in the cosmos without compressing the data is revealing new information about the dark ...

The SOM algorithm, which incorporated both qualitative and quantitative data, produced the best model, resulting in the identification of three distinct domains. These findings underscore the ...

It may be time for commercial cattle producers to take a page from seed stock producers and incorporate genetic testing at ...