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Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...
As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by generating accurate labels from imbalanced datasets, Interview Kickstart announces ...
Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...
Survey Identifies the Vendors and Capabilities Driving FWA Detection, Overpayment Recovery, and Claims Accuracy Across U.S. Payers NEW YORK CITY, NY / ACCESS Newswire / June 2, 2025 / As healthcare ...
Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...
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Tech Xplore on MSNLearning at peak efficiency: Optimizing transport, trust and tutelageThe information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...
Organizations worldwide lose millions annually through ineffective procurement practices that appear legitimate on paper. AI technology now offers capabilities ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
Built on the Isolation Forest algorithm, the system continuously detects anomalies, predicts potential failures, and ensures ...
Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...
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