Twisting Theory: A New Artificial Adaptive System for Landslide Prediction

Twisting Theory: A New Artificial Adaptive System for Landslide Prediction

Landslides pose a significant risk to human life. The Twisting Theory (TWT) and Crown Clustering Algorithm (CCA) are innovative adaptive algorithms that can determine the shape of a landslide and predict its future evolution based on the movement of position sensors located in the affected area. In...

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Bibliografiska uppgifter
Huvudupphovsmän: Paolo Massimo Buscema, Weldon A. Lodwick, Masoud Asadi-Zeydabadi, Francis Newman, Marco Breda, Riccardo Petritoli, Giulia Massini, David Buscema, Donatella Dominici, Fabio Radicioni
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-04-01
Serie:Geosciences
Ämnen:
landslide
Deep Neural Networks (DNN)
Twisting Theory (TWT)
artificial intelligence
artificial adaptive systems
Länkar:https://www.mdpi.com/2076-3263/13/4/115

Internet

https://www.mdpi.com/2076-3263/13/4/115

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