The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
A new analysis of seismic “families” reveals that some large earthquakes may be preceded by hidden patterns in clustering, ...
With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...
We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...
A noninvasive blood-based test identified cases of endometriosis that were missed by imaging, data at the Endocrine Society ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
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