rnn-lstm-model

This folder contains the network implementation of LSTM models used to develop AI-based slope safety assessment iOS mobile application.

https://github.com/fatty-bamba/rnn-lstm-model

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

This folder contains the network implementation of LSTM models used to develop AI-based slope safety assessment iOS mobile application.

Basic Info
  • Host: GitHub
  • Owner: FATTY-BAMBA
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 7.81 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Citation

Readme.md

This file contains the network implementation of the LSTM model used in our study to build the AI-based slope stability prediction tools. DOI

Owner

  • Login: FATTY-BAMBA
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Fatty"
  given-names: "Abdoulie"
  orcid: "https://orcid.org/0000-0002-8765-4220"
- family-names: "Li"
  given-names: "An-Jui"
- family-names: "Chen"
  given-names: "Li-Hsuan"
title: "LSTM-Model : Initial Release"
version: 0.1.0
doi: 10.5281/zenodo.6518234
date-released: 2022-05-04
url: "https://zenodo.org/badge/latestdoi/488620178"

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