Peer-reviewed paper indicates icosapent ethyl (IPE) was associated with fewer total hospitalizations and fewer days lost due to hospitalization and death, providing additional insights on the effects ...
Abstract: Accurate identification of tool wear status during machining is an important part of intelligent manufacturing, whose health state directly affects processing quality, production costs, and ...
In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...
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Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...
Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...
Abstract: Outlier detection is a significant challenge in IoT-based systems, which encompass a multitude of sensor nodes deployed for diverse applications. Ensuring accurate data transmission from ...
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