P
Piet Demeester
Researcher at Ghent University
Publications - 159
Citations - 9276
Piet Demeester is an academic researcher from Ghent University. The author has contributed to research in topics: Radio over fiber & Network planning and design. The author has an hindex of 35, co-authored 159 publications receiving 8305 citations. Previous affiliations of Piet Demeester include Information Technology University & IMEC.
Papers
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Journal ArticleDOI
FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data.
Sofie Van Gassen,Sofie Van Gassen,Britt Callebaut,Mary J. van Helden,Bart N. Lambrecht,Piet Demeester,Tom Dhaene,Yvan Saeys +7 more
TL;DR: A new visualization technique is introduced, called FlowSOM, which analyzes Flow or mass cytometry data using a Self‐Organizing Map, using a two‐level clustering and star charts, to obtain a clear overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise.
Journal ArticleDOI
A survey on wireless body area networks
TL;DR: This paper offers a survey of the concept of Wireless Body Area Networks, focusing on some applications with special interest in patient monitoring and the communication in a WBAN and its positioning between the different technologies.
Journal Article
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
TL;DR: This paper presents a mature, flexible, and adaptive machine learning toolkit for regression modeling and active learning to tackle issues of computational cost and model accuracy.
Journal ArticleDOI
Trends in worldwide ICT electricity consumption from 2007 to 2012
TL;DR: This paper assesses how ICT electricity consumption in the use phase has evolved from 2007 to 2012 based on three main ICT categories: communication networks, personal computers, and data centers to find that the absolute electricity consumption of each of the three categories is still roughly equal.
Book
Network Recovery: Protection and Restoration of Optical, SONET-SDH, IP, and MPLS
TL;DR: In this paper, the authors present a classification of single-layer recovery mechanisms and a comparison of global protection and local protection in MPLS traffic engineering networks, based on failure profiles and fault detection.