Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset-Reference-Cited by-同舟云学术

Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing
language:
Short-container-title:

Author:

Gupta Vishu¹^ORCID,Lyu Yuhui¹^ORCID,Suarez Derick¹^ORCID,Mao Yuwei¹^ORCID,Liao Wei-Keng¹^ORCID,Choudhary Alok¹^ORCID,Liu Wing Kam¹^ORCID,Cusatis Gianluca¹^ORCID,Agrawal Ankit¹^ORCID

Affiliation:

1. Northwestern University, USA

Funder

Department of Energy

Predictive Science and Engineering Design Cluster

National Institute of Standards and Technology

NSF (National Science Foundation)

Northwestern Center for Nanocombinatorics

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607947.3607980

Reference41 articles.

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4. Determination of Regression Rate in an Ablating Hybrid Rocket Solid Fuel Using a Physics Based Comprehensive Mathematical Model

5. Generalizable cone beam CT esophagus segmentation using physics-based data augmentation

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