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To deal with microplastic pollution, it helps agencies to know what kind of plastic they’ve got on their hands.
Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...
It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a ...
A researcher with expertise in cybersecurity, Vishwadeep Saxena explores the transformative impact of machine learning (ML) ...
This article explores the top 10 ML algorithms essential for quality assurance, from Decision Trees for defect prediction to Neural Networks for automated test generation, helping test engineers ...
1 天
News Medical on MSNMachine learning models fall short in predicting in-hospital mortalityIt would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
Multiparametric magnetic resonance imaging (MRI)-based machine learning techniques have the potential to identify B-cell lymphoma-6 (BCL-6) overexpression in patients with primary central nervous ...
Real-World Applications of AI in Software Testing - With the faster rate of software development today, AI in testing is ...
Feature selection is a critical process in ML that helps eliminate irrelevant or redundant variables, leading to better generalization and model efficiency. The study proposes a Hybrid Feature ...
ML is the name given to a branch of AI that is focused on allowing computers and machines to imitate the way that humans ...
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