Tesi etd-09182015-200015 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
MATTERA, ANDREA
URN
etd-09182015-200015
Titolo
Machine learning algorithms modeling networked sensor measurements: application to environmental radiation monitors
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. d'Errico, Francesco
correlatore Prof.ssa Sullivan, Clair Julia
tutor Dott. Sollima, Calogero
correlatore Dott. Bechini, Alessio
controrelatore Prof. Monorchio, Agostino
correlatore Prof.ssa Sullivan, Clair Julia
tutor Dott. Sollima, Calogero
correlatore Dott. Bechini, Alessio
controrelatore Prof. Monorchio, Agostino
Parole chiave
- sensor networks
- Python
- hadoop
- environmental background
- data analysis
- Big Data
- support vector machines
- weather
Data inizio appello
09/10/2015
Consultabilità
Non consultabile
Data di rilascio
09/10/2085
Riassunto
The main purposes of this study are evaluating the relation between background radiation and weather conditions and defining a model able to predict future values of a background radiation time series taking advantage of machine learning algorithms.
In this work the safecast dataset has been studied. It contains measurements from a network of radiation sensors placed in different locations,thanks to the aid of voluntary users along the world.
In this work the safecast dataset has been studied. It contains measurements from a network of radiation sensors placed in different locations,thanks to the aid of voluntary users along the world.
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