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MEASURING RESILIENT COMMUNITIES: An analytical and predictive tool
Silvio Carta
, Tommaso Turchi
,
Luigi Pintacuda
School of Creative Arts
Architecture+ Research Group
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
50
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Dive into the research topics of 'MEASURING RESILIENT COMMUNITIES: An analytical and predictive tool'. Together they form a unique fingerprint.
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Keyphrases
Resilient Communities
100%
Predictive Tool
100%
Analytical Tools
100%
Urban Areas
100%
Resilience Level
66%
Resilience
66%
TensorFlow
33%
Green Areas
33%
Natural Elements
33%
Extracting Features
33%
Bootstrap
33%
Online Demo
33%
Resilience Value
33%
Morphological Characteristics
33%
Keras
33%
Range of Values
33%
Convolutional Neural Network
33%
Assigned Value
33%
Training Model
33%
Natural Infrastructure
33%
Deep Neural Network
33%
Resilience Score
33%
Computer Science
Natural Element
100%
Deep Neural Network
100%
Analytical Tool
100%
Keras
100%
Convolutional Neural Network
100%
Engineering
Nodes
100%
Deep Neural Network
100%
Infrastructure
100%
Natural Element
100%
Convolutional Neural Network
100%
Mathematics
Convolutional Neural Network
100%
Deep Neural Network
100%
Economics, Econometrics and Finance
Metropolitan Area
100%