Publications: Machine Learning

Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction

We propose a multi-resolution selective ensemble extreme learning machine (MRSE-ELM) method for time-series prediction with the application to the next-step and next-day electricity consumption p

Electricity Consumption Prediction Machine Learning Multi-resolution Selective Ensemble Ensemble Learning electricity Consumption Prediction
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Multivariate electricity consumption prediction with Extreme Learning Machine

In this paper, Extreme Learning Machine (ELM) is shown to be a powerful tool for electricity consumption prediction, demonstrated by its competitive prediction accuracy and superior computational

Multivariate electricity consumption prediction Machine Learning electricity Consumption Prediction Multivariate
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Context-aware mobility analytics and trip planning

The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning are two vital components of user mobilit

Context-aware Mobility Accessible trip planning Wait time prediction Queue context prediction Heterogeneous data fusion Machine Learning Predictive analytics ubiquitous computing Pattern recognition Data Mining Trip Planning context data fusion Information Systems Analysis
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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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Three-dimensional vectorial holography based on machine learning inverse design

The three-dimensional (3D) vectorial nature of electromagnetic waves of light has not only played a fundamental role in science but also driven disruptive applications in optical display, microscop

Machine Learning inverse design Three-dimensional vectorial holography
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© 2021 Flora Salim - CRUISE Research Group.