Geert Postma
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View article: Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems
Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems Open
New residential neighborhoods are often supplied with heat via district heating systems (DHS). Improving the energy efficiency of a DHS is critical for increasing sustainability and satisfying user requirements. In this paper, we present H…
View article: BaHys—A Bayesian Modeling Framework for Long‐Term Concentration‐Discharge Hysteresis: A Case Study on Chloride
BaHys—A Bayesian Modeling Framework for Long‐Term Concentration‐Discharge Hysteresis: A Case Study on Chloride Open
Improving river water quality requires a thorough understanding of the relationship between constituent concentration and water discharge during runoff events (i.e., C‐Q hysteresis), which may be strongly non‐linear. Analysis of C‐Q hyster…
View article: A multivariate curve resolution analysis of multicenter proton spectroscopic imaging of the prostate for cancer localization and assessment of aggressiveness
A multivariate curve resolution analysis of multicenter proton spectroscopic imaging of the prostate for cancer localization and assessment of aggressiveness Open
In this study, we investigated the potential of the multivariate curve resolution alternating least squares (MCR‐ALS) algorithm for analyzing three‐dimensional (3D) 1 H‐MRSI data of the prostate in prostate cancer (PCa) patients. MCR‐ALS g…
View article: Mono/Multi-material Characterization Using Hyperspectral Images and Multi-Block Non-Negative Matrix Factorization
Mono/Multi-material Characterization Using Hyperspectral Images and Multi-Block Non-Negative Matrix Factorization Open
Plastic sorting is a very essential step in waste management, especially due to the presence of multilayer plastics. These monomaterial and multimaterial plastics are widely employed to enhance the functional properties of packaging, combi…
View article: Calculating Required Purification Effort to Turn Source Water Into Drinking Water Using an Adapted CCME Water Quality Index
Calculating Required Purification Effort to Turn Source Water Into Drinking Water Using an Adapted CCME Water Quality Index Open
The 2000 European Union Water Framework Directive (WFD) states that “Member States shall ensure the necessary protection for the bodies of water identified with the aim of avoiding deterioration in their quality in order to reduce the leve…
View article: Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling Open
Contains fulltext : 294903.pdf (Publisher’s version ) (Open Access)
View article: Machine-learned digital phase switch for sustainable chemical production
Machine-learned digital phase switch for sustainable chemical production Open
Batch or semi-batch chemical reaction units often requires multiple operational phases to convert reactants to valuable products. In various chemical production facilities, the switching decision of such operational phases has to be confir…
View article: Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling Open
This work proposes a new data-driven model devised to integrate process knowledge into its structure to increase the human-machine synergy in the process industry. The proposed Contextual Mixture of Experts (cMoE) explicitly uses process k…
View article: Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data
Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data Open
Purpose To evaluate the value of convolutional neural network (CNN) in the diagnosis of human brain tumor or Alzheimer’s disease by MR spectroscopic imaging (MRSI) and to compare its Matthews correlation coefficient (MCC) score against tha…
View article: Convolutional neural networks to predict brain tumor grades and Alzheimer's disease with MR Spectroscopic Imaging data
Convolutional neural networks to predict brain tumor grades and Alzheimer's disease with MR Spectroscopic Imaging data Open
Purpose: To evaluate the value of convolutional neural network (CNN) in the diagnosis of human brain tumor or Alzheimer’s disease by MR spectroscopic imaging (MRSI) and to compare its Matthews correlation coefficient (MCC) score against th…
View article: Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis
Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis Open
This work proposes an approach to assess the effects observed in multicolor flow cytometry (MFC) experiments, for all markers and experimental factors simultaneously. It achieves this end by extending ANOVA simultaneous component analysis …
View article: Correction: Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context
Correction: Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context Open
[This corrects the article DOI: 10.1371/journal.pone.0260952.].
View article: Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device
Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device Open
Many industries see a shifting focus towards performing on-site analysis using handheld spectroscopic devices. A determining factor for decision-making on the commissioning of these devices is available information on the potential perform…
View article: Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context
Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context Open
The endeavor to understand the human brain has seen more progress in the last few decades than in the previous two millennia. Still, our understanding of how the human brain relates to behavior in the real world and how this link is modula…
View article: Quantitative vibrational spectroscopy on liquid mixtures: concentration units matter
Quantitative vibrational spectroscopy on liquid mixtures: concentration units matter Open
Quantitative vibrational spectroscopy on liquid mixtures is best performed using volume-based concentration units.
View article: Data, software and scripts related to the Process PLS methodology manuscript
Data, software and scripts related to the Process PLS methodology manuscript Open
Shareable content related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data" Preprint at: www.tinyu…
View article: A methodological approach to correlate tumor heterogeneity with drug distribution profile in mass spectrometry imaging data
A methodological approach to correlate tumor heterogeneity with drug distribution profile in mass spectrometry imaging data Open
Background Drug mass spectrometry imaging (MSI) data contain knowledge about drug and several other molecular ions present in a biological sample. However, a proper approach to fully explore the potential of such type of data is still miss…
View article: Estimating the number of components and detecting outliers using Angle Distribution of Loading Subspaces (ADLS) in PCA analysis
Estimating the number of components and detecting outliers using Angle Distribution of Loading Subspaces (ADLS) in PCA analysis Open
Principal Component Analysis (PCA) is widely used in analytical chemistry, to reduce the dimensionality of a multivariate data set in a few Principal Components (PCs) that summarize the predominant patterns in the data. An accurate estimat…
View article: Comprehensive three-dimensional ray tracing model for three-mirror cavity-enhanced spectroscopy
Comprehensive three-dimensional ray tracing model for three-mirror cavity-enhanced spectroscopy Open
A 3D ray tracing model is used to simulate optical reinjection in a nonresonant optical cavity, for off-axis integrated cavity output spectroscopy. The optical cavities are optimized for maximum intensity enhancement factors via a grid sea…