Estimating the distribution of anthropogenic asbestos using random forest algorithm

Estimating the distribution of anthropogenic asbestos using random forest algorithm

Bibliographic Details
Main Author: Hietaranta, Mikko
Other Authors: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Bio- ja ympäristötieteiden laitos, Department of Biological and Environmental Science, Jyväskylän yliopisto, University of Jyväskylä, Ympäristötiede ja -teknologia (maisteriohjelma), Environmental science and technology, 4015
Format: Master's thesis
Language:eng
Published: 2020
Subjects:
random forest
asbesti
algoritmit
koneoppiminen
asbestoosi
julkiset rakennukset
asbestos
algorithms
machine learning
asbestosis
public buildings
Online Access: https://jyx.jyu.fi/handle/123456789/73685
Description
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