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The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing.

Christopher LoynesJamal OuennicheJohannes De Smedt
Published in: Ann. Oper. Res. (2022)
Keyphrases
  • location estimation
  • emergency response
  • man made
  • e government
  • binary features
  • neural network
  • social networks
  • anomaly detection
  • signal strength