Publications: big data

Building utilisation analytics: human occupancy counting and thermal comfort prediction with ambient sensing

With advancement in sensors and the Internet of Things, gathering spatiotemporal information from one’s surroundings has become more convenient. There are multiple phenomenological behaviours,

Machine Learning ambient sensing building occupancy artificial intelligence Carbon Dioxide presence detection Thermal Comfort Prediction human occupancy counting sensor smart home ubiquitous computing sensing big data smart building Decision Support Occupancy Prediction ambient sensors sensor Analysis
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Clustering Big Spatiotemporal-Interval Data

We propose a model for clustering data with spatiotemporal intervals, which is a type of spatiotemporal data associated with a start- and an end-point. This model can be used to effectively evaluat

Clustering Big Spatiotemporal-Interval Data Spatiotemporal big data
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© 2021 Flora Salim - CRUISE Research Group.