BackgroundFluorescence microscopy is an indispensable tool for observing cellular dynamics and internal structures. To reduce photobleaching and ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Abstract: State-of-the-art anomalous sound detection (ASD) systems in domain-shifted conditions rely on projecting audio signals into an embedding space and using distance-based outlier detection to ...
Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
Abstract: To address the current problem that the speed of high-speed spinning bodies varies widely and it is difficult to achieve effective speed measurements throughout the entire flight, this ...
Understanding and correcting variability in western blot experiments is essential for reliable quantitative results. Experimental errors from pipetting, gel transfer, or sample differences can distort ...
Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...
The pre-built agents and Private Agent Factory itself would help developers accelerate agent building, especially those working for enterprises in regulated industries, analysts say. Oracle has added ...
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