Abstract: Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means ...
Abstract: To enhance the training efficiency and prediction accuracy of multistep short-term wind power prediction (WPP) and to tackle the challenge that data cleaning with only a single model fails ...
Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
Artificial intelligence is rapidly changing how scientists search for new catalysts—the materials that speed up chemical ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...
Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...
Customer segmentation using unsupervised machine learning techniques including K-Means and DBSCAN with PCA, t-SNE, and UMAP for exploratory analysis and customer behaviour discovery. - Piyumi-Hetti ...
This project detects fraudulent transactions using the DBSCAN clustering algorithm and provides a Flask-based web interface for analysis.
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