10 citations · 11 across the 7 of their papers we have counts for
4 papers · 1 filter
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
Samuel G. Leitch, Qasim Zeeshan Ahmed, Ben Van Herbruggen +5
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the…
Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning
Phuong Bich Duong, Ben Van Herbruggen, Arne Broering +2
Indoor positioning systems based on Ultra-wideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy. However, these systems ofte…
Forecast reconciliation for vaccine supply chain optimization
Bhanu Angam, Alessandro Beretta, Eli De Poorter +2
Vaccine supply chain optimization can benefit from hierarchical time series forecasting, when grouping the vaccines by type or location. However, forecasts of different hierarchy l…
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions
Germán González-Almagro, Daniel Peralta, Eli De Poorter +2
Clustering is a well-known unsupervised machine learning approach capable of automatically grouping discrete sets of instances with similar characteristics. Constrained clustering…