A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
For many parents, conversations about screen time come with guilt. We count minutes, set timers, and wonder if we’re doing enough, or too much, to protect ...
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How machine learning is boosting business growth
Learn how to find and make the best use of valuable insights buried in your company’s databases.
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Abstract: Cross-scene hyperspectral image classification has achieved favorable outcomes in the domain adaptation of deep learning. However, transferring the sample features learned from the source ...
Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
Abstract: Magnetic resonance imaging (MRI) is powerful in medical diagnostics, yet high-field MRI, despite offering superior image quality, incurs significant costs for procurement, installation, ...
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