Optimizing Hidden Markov Models for the Internet of Things
The Internet of Things is a new and emerging branch of control systems where gatheredsensor data is analyzed using computer algorithms. This report applies Markov models, astatistical model based on states with transitions between them, to temperature datagathered from an office. In particular, hidd...
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Format: | Others |
Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2017
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208882 |