Browsing NTNU Open by Author "Westad, Frank"
Now showing items 1-10 of 10
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Classification and Interpretation of Cerebral Palsy-related movements by means of Multivariate Analysis
Kristiansen, Marie Pauline Strømme (Master thesis, 2019)Cerebral parese er en samlebetegnelse på tilstander med endret motorisk funksjon forårsaket av en permanent skade på hjernen. Påvirkningen denne skaden har på motorisk funksjon er veldig individuelt og er derfor vanskelig ... -
Data Pre-processing and Sensor-Fusion for Multivariate Statistical Process Control of an Extrusion Process
Westad, Frank; Lodgaard, Lars; Pedersen, Torbjørn (Peer reviewed; Journal article, 2023)In most manufacturing processes, data related to a product are collected across several process steps. Ensuring good data quality is essential for subsequent process modeling, monitoring, and control. Although data for a ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
Mathew, Anna; Hassan, Hafiz Wajahat; Korostynska, Olga; Westad, Frank; Mota-Silva, Eduardo; Menichetti, Luca; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Biodegradable Magnesium (Mg) based implants have several advantages over non-biodegradable metallic implants as they have mechanical properties close to the natural bone. Monitoring the interaction of magnesium with tissue ... -
In Vivo Analysis of a Biodegradable Magnesium Alloy Implant in an Animal Model Using Near-Infrared Spectroscopy
Mathew, Anna; Hassan, Hafiz Wajahat; Korostynska, Olga; Westad, Frank; Mota-Silva, Eduarda; Menichetti, Luca; Mirtaheri, Peyman (Peer reviewed; Journal article, 2023)Biodegradable magnesium-based implants offer mechanical properties similar to natural bone, making them advantageous over nonbiodegradable metallic implants. However, monitoring the interaction between magnesium and tissue ... -
Multivariate Analysis on Preprocessed Time-Frequency Representations of Electrode Voltage Signals from Microelectrode Array Experiments on an in-vitro Dopaminergic Neuronal Culture
Hovden, Ivar Thokle (Master thesis, 2018)The Master's thesis presents custom developed Fourier based preprocessing methods as well as results from principal component analysis (PCA) and partial least squares projection to latent structures (PLS) regression on ... -
Multivariate Statistical Process Control and Classifi cation Applied on Prostate Cancer Screening
Riis, Øivind; Stenvold, Andreas; Stene-Johansen, Helge; Westad, Frank (Journal article, 2023)Introduction: We report in this study the results of analyzing biomarkers in blood samples with two objectives; i) as an approach for screening patients by use of Multivariate Statistical Process Control (MSPC); ii) Compare ... -
A retrospective view on non-linear methods in chemometrics, and future directions
Westad, Frank; Flåten, Geir Rune (Journal article, 2024)This perspective article reviews how the chemometrics community approached non-linear methods in the early years. In addition to the basic chemometric methods, some methods that fall under the term “machine learning” are ... -
Using Multivariate Methods To Predict Financial Default
Larsen, Ada Skarsholt (Master thesis, 2019)Fintech er en voksende bransje for banker og andre virksomheter som tilbyr lån, forsikring, kunderådgiving og andre finansielle tjenester. Et viktig aspekt er hvordan data om kunder og tjenester bør analyseres for å gi de ... -
Variable Selection and Redundancy in Multivariate Regression Models
Westad, Frank; Marini, Federico (Journal article, 2022)Variable selection is a topic of interest in many scientific communities. Within chemometrics, where the number of variables for multi-channel instruments like NIR spectroscopy and metabolomics in many situations is larger ... -
Well-Log Database and Automation of Well Log Depth Matching by Using Analytical Methods and Deep Learning
Caceres, Veronica Alejandra Torres (Doctoral theses at NTNU;2022:104, Doctoral thesis, 2022)Well log data formats remain rigid, outdated, and difficult to understand and to work with. The amount of available documentation is limited, thus much of the valuable information held in these data formats is left behind ...