The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Influence of Elephant-Driven Vegetation Structure and Altitudinal Gradient on the Occurrence of the Endemic Mount Cameroon Francolin ...
A powerful Python toolkit for generating synthetic datasets for Optical Character Recognition (OCR) model training and evaluation. This toolkit enables generating realistic text images with ...
Abstract: This study focuses on time-space sampled-data control for Takagi-Sugeno (T-S) fuzzy reaction-diffusion neural networks (NNs) under random sampling and network-induced delays. Fuzzy ...
How can we be sure that there is sufficient data for our model, such that the predictions remain reliable on unseen data and the conclusions drawn from the fitted model would not vary significantly ...
DOGE team members uploaded a database with the personal information of hundreds of millions of Americans to a vulnerable cloud server, according to the agency’s chief data officer. By Nicholas Nehamas ...
If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...
Copyright: © 2025 The Author(s). Published by Elsevier B.V. 997 pseudonymized serum samples were obtained from NHS Greater Glasgow and Clyde (NHS GGC) biorepository ...
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Supervised learning allows broad-scale mapping of variables measured at discrete points in space and time, e.g., by combining satellite and in situ data. However, it can fail to make accurate ...
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