SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION

Master's

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Bibliographic Details
Main Author: RHEA PATRICIA LIEM
Other Authors: SINGAPORE-MIT ALLIANCE
Format: Theses and Dissertations
Published: 2019
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/154052
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Institution: National University of Singapore
id sg-nus-scholar.10635-154052
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spelling sg-nus-scholar.10635-1540522019-05-13T13:10:54Z SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION RHEA PATRICIA LIEM SINGAPORE-MIT ALLIANCE YONGKI GO TIAUW HIONG MURALI DAMODARAN surrogate model black-box system Monte Carlo analysis aviation emissions Master's MASTER OF SCIENCE IN COMPUTATIONAL ENGINEERING 2019-05-13T07:56:24Z 2019-05-13T07:56:24Z 2007 Thesis RHEA PATRICIA LIEM (2007). SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/154052 SMA BATCHLOAD 20190422
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic surrogate model
black-box system
Monte Carlo analysis
aviation emissions
spellingShingle surrogate model
black-box system
Monte Carlo analysis
aviation emissions
RHEA PATRICIA LIEM
SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
description Master's
author2 SINGAPORE-MIT ALLIANCE
author_facet SINGAPORE-MIT ALLIANCE
RHEA PATRICIA LIEM
format Theses and Dissertations
author RHEA PATRICIA LIEM
author_sort RHEA PATRICIA LIEM
title SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
title_short SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
title_full SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
title_fullStr SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
title_full_unstemmed SURROGATE MODELING IMPROVEMENT FOR AVIATION EMISSION ESTIMATION
title_sort surrogate modeling improvement for aviation emission estimation
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/154052
_version_ 1681099330778300416