Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Christopher J. Earls"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract There is an opportunity for deep learning to revolutionize science and technology by revealing its findings in a human interpretable manner. To do this, we develop a novel data-driven approach for creating a human–machine partnership to ac
Externí odkaz:
https://doaj.org/article/53ebee01cf1e486e832efe248bda902a
Autor:
Christopher J. Earls, Yolanda C. Lin
Publikováno v:
IEEE Journal of Oceanic Engineering. 46:864-878
In applied science and engineering contexts, ocean free-surface wave-field characterization is an ongoing research area relevant to many diverse applications. The use of optical means for this characterization, in particular, is an appealing solution
Publikováno v:
SoftwareX, Vol 14, Iss, Pp 100664-(2021)
Reversible jump Markov chain Monte Carlo (RJMCMC) is a powerful Bayesian trans-dimensional algorithm for performing model selection while inferring the distribution of model parameters. The present work introduces CU-MSDSp as an open source and fully
Autor:
Yolanda C. Lin, Christopher J. Earls
Publikováno v:
Applied Ocean Research. 82:143-157
This work investigates the indirect monitoring of ice accretion on ship surfaces using a stochastic inversion framework. An accurate assessment of a ship's mass properties during operation is an important concern for ships traveling within the Arctic
Autor:
Hilarie Sit, Christopher J. Earls
Real-time characterization of refractivity within the marine atmospheric boundary layer can provide valuable information that can potentially be used to mitigate the effects of atmospheric ducting on radar performance. Many duct characterization mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9e9239b567f71816920d291ce454b8
http://arxiv.org/abs/2005.06524
http://arxiv.org/abs/2005.06524
Publikováno v:
SoftwareX, Vol 11, Iss, Pp-(2020)
The present work discusses capabilities within the finite element library CU-BENs. CU-BENs focuses on applying the finite element method to structural mechanics problems encountered within the context of inverse problems and partitioned fluid–struc
Autor:
Juan G. Londono, Christopher J. Earls, Maxwell Jenquin, Alex Kelly, Jeffrey Cipolla, Christophe Bonneville
Publikováno v:
Reliability Engineering & System Safety. 212:107624
Certifying performance of mechanical components with experimental tests is time consuming and expensive, which motivates the development of efficient approaches for predicting the outcomes from such testing. We propose two methods based on Gaussian p
Autor:
Andrew Loeb, Christopher J. Earls
Publikováno v:
Mechanical Systems and Signal Processing. 154:107545
In this work, we consider a thermographic inspection setup for detection and characterization of corrosion in a steel structure. Solid products of corrosion, if present, interact with the flow of heat within a domain, so that a structure’s thermal
Publikováno v:
Applied Ocean Research. 63:24-35
In current Naval Architecture practice, employing static considerations is an important and necessary step in assessing ship stability and seakeeping properties (e.g. inclining experiments, load line regulations, range of stability calculations). How
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:7166-7176
Predicting in situ maritime electromagnetic (EM) propagation conditions is of great importance to radar operations within the marine atmospheric boundary layer. To characterize the EM propagation conditions, at a specific location in time and space,