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pod-lstm_bldg

https://github.com/rohitvuppala/pod-lstm_bldg

Science Score: 57.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
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    Academic publication links
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    Scientific vocabulary similarity
    Low similarity (6.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: rohitvuppala
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 7.96 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

A non-intrusive reduced order model using deep l earning for realistic wind data generation for small unmanned aerial systems in urban spaces

Code and tools used for AIP Advances Manuscript " A non-intrusive reduced order model using deep learning for realistic wind data generation for small unmanned aerial systems in urban spaces "

How to use

Input

Please use the input.yaml to change the parameters to run the code

Params

The parameters are divided between converting .nc to .mat file, data, runtime, detrending, training, misc parameters

Flags

Flags for convertion, runtime, plotting, gif generation, backend plotting are all included in the file.

Files

  • init.py : File with all the initialisation
  • imp_lib.py : File to import the necessary libraries
  • functions.py : File with all the functions used
  • main.py : File to train and run the model
  • misc_plotting.py: File with functions included to plot the data

Packages used

  • tensorflow
  • sklearn
  • h5py
  • tqdm
  • numpy
  • netcdf4
  • scipy
  • hurst
  • matplotlib
  • time
  • cmocean

Tested with

  • Python version 3.6
  • Python version 3.8

Owner

  • Name: Rohit Vuppala
  • Login: rohitvuppala
  • Kind: user
  • Location: Stillwater
  • Company: Oklahoma State University

Ph.D Student, Mechanical and Aerospace Engineering.

Citation (citation.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Vuppala"
  given-names: "Rohit K. S. S."
  orcid: "https://orcid.org/0000-0001-6789-2275"
- family-names: "Kara"
  given-names: "Kursat"
  orcid: "https://orcid.org/0000-0002-2788-0234"
title: "POD-LSTM_BLDG"
version: 1.0.0
date-released: 2022-07-21
url: "https://github.com/rohitvuppala/POD-LSTM_BLDG"

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