A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
Researchers mapped 442,239 single nuclei from nonfailing human hearts to chart how cardiac cells change from fetal ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...
Detection of large vessel occlusions using a deep learning (DL) algorithm for the anterior circulation has shown promising results. However, the role of DL algorithms in detecting posterior ...
Abstract: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...
Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
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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 ...
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