5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 5 cited
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN
George S. Baggs, Paul Guerrier, Andrew Loeb +1
Moog Inc. has automated the evaluation of copper (Cu) alloy grain size using a deep-learning convolutional neural network (CNN). The proof-of-concept automated image acquisition an…
math.NA2019
Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material
Andrew Loeb, Christopher Earls
The simulation of heat flow through heterogeneous material is important for the design of structural and electronic components. Classical analytical solutions to the heat equation…
stat.ML2018★ 3 cited
Scalable Lévy Process Priors for Spectral Kernel Learning
Phillip A. Jang, Andrew E. Loeb, Matthew B. Davidow +1
Gaussian processes are rich distributions over functions, with generalization properties determined by a kernel function. When used for long-range extrapolation, predictions are pa…