Results 241 to 250 of about 368,858 (384)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Beyond the Access Site: Redefining Intraprocedural Imaging for Tricuspid TEER With Transjugular ICE. [PDF]
Ohno Y, Noda S, Murakami T.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Metachronous bilateral diabetic mastopathy mimicking breast cancer in a woman with long-standing type 2 diabetes: a case report. [PDF]
Kuang Z, Ding W, Li L.
europepmc +1 more source

