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Quantified self: building a multi-time window analytical workflow for clustering wearable data streams
Quantified self: building a multi-time window analytical workflow for clustering wearable data streams
Author(s):
McCully
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through...
Data stream affinity propagation for clustering indoor space localization data
Data stream affinity propagation for clustering indoor space localization data
Author(s):
Eshraghi Ivari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
In the age of Internet of Things, the ability to find spatio-temporal patterns of people and devices moving in indoor spaces...
Dynamic flood mapping using hydrological modeling and machine learning
Dynamic flood mapping using hydrological modeling and machine learning
Author(s):
Esfandiari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
Flooding is one of the most devastating natural hazards around the globe. Having access to abundant sources of data such as...

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