Obtaining vibration fatigue life in the spectral domain. For general theoretical background on vibration fatigue (structural dynamics, uniaxial/multiaxial fatigue, non-Gaussianity, non-stationarity, ...
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...
Abstract: Machine learning (ML) has demonstrated significant potential in accelerating the design of microwave components owing to its great ability to approximate the projection between geometric ...
Estimating the genetic diversity of cetaceans at sea, particularly abundant social delphinids, can be difficult with traditional biopsy sampling of individuals. Environmental DNA (eDNA) metabarcoding ...
Abstract: Data valuation, critical for quantifying individual data points’ contributions to model performance, faces challenges in noisy, high-dimensional medical datasets due to inherent feature ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c01231. Additional results on the long-time convergence of the ...
This important study addresses key assumptions underlying current models of the formation of value-based decisions. The authors provide convincing evidence that the subjective values human ...
Techniques developed to analyse the ripples in spacetime detected by one of the 21st century’s most sensitive pieces of scientific equipment have helped cast new light on the function of the oldest ...
A random number generator (RNG) is a type of algorithm or hardware device that can produce a series of arbitrary numbers. The quality of an RNG is often measured by its ability to produce ...
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