Deep Learning-Based Reconstruction of the Structure of Heterogeneous Composites From Their Temperature Fields

AIP Advances - United States
doi 10.1063/5.0004631
Full Text
Abstract

Available in full text

Date
Authors
Publisher

AIP Publishing

Related search

Heterogeneous Gray-Temperature Fusion-Based Deep Learning Architecture for Far Infrared Small Target Detection

Journal of Sensors
ControlSystems EngineeringInstrumentationElectricalElectronic Engineering
2019English

Deep Learning- And Transfer Learning-Based Super Resolution Reconstruction From Single Medical Image

Journal of Healthcare Engineering
BiotechnologySurgeryBiomedical EngineeringHealth Informatics
2017English

Deep Learning Based Aesthetic Evaluation of State-Of-The-Art 3D Reconstruction Techniques

2017English

Heterogeneous Structure of the Lithosphere in the Black Sea From a Multidisciplinary Analysis of Geophysical Fields

Geofizicheskiy Zhurnal
2017English

Heterogeneous Conducting Polypyrrole Based Sensing Composites

Rasayan Journal of Chemistry
PharmacologyBiochemistryEnergyChemical EngineeringToxicologyChemistryPharmaceutics
2017English

Reconstruction of Quaternary Temperature Fields and Model-Data Comparison

PAGES news
2008English

Deep Learning Based Image Reconstruction Algorithm for Limited-Angle Translational Computed Tomography

PLoS ONE
Multidisciplinary
2020English

3D Face Reconstruction System Based on Deep Learning and Sparse Face Model

2017English

Deep Learning Approach to Track Reconstruction in the Upgraded VELO

EPJ Web of Conferences
AstronomyPhysics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy