Searched for: subject%3A%22support%255C+vector%255C+machines%22
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Remmerswaal, Evan (author)
Objective: This work focuses on the feasibility of using Electrical Impedance Spectroscopy (EIS) to differentiate between cancerous and healthy tissues in real-time alongside the GI tract. This is to see whether it is possible to support surgeons when taking biopsies, or to see if it is possible to make biopsies obsolete with EIS. Methods: The...
master thesis 2023
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Nowroozi, Ehsan (author), Mohammadi, Mohammadreza (author), Savas, Erkay (author), Mekdad, Yassine (author), Conti, M. (author)
In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia security. However, the underlying fragility of CNN structures poses major security problems, making them inappropriate for use in security-oriented applications,...
journal article 2023
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Difrancesco, S. (author), van Baardewijk, J.U. (author), Cornelissen, A.S. (author), Varon, Carolina (author), Hendriks, R.C. (author), Bouwer, A.M. (author)
Wearable sensors offer new opportunities for the early detection and identification of toxic chemicals in situations where medical evaluation is not immediately possible. We previously found that continuously recorded physiology in guinea pigs can be used for early detection of exposure to an opioid (fentanyl) or a nerve agent (VX), as well as...
journal article 2023
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Zehnder, Calvin (author), Béen, Frederic (author), Vojinovic, Zoran (author), Savic, Dragan (author), Torres, Arlex Sanchez (author), Mark, Ole (author), Zlatanovic, L. (author), Abebe, Y.A. (author)
Wastewater-based epidemiology (WBE) has been proven to be a useful tool in monitoring public health-related issues such as drug use, and disease. By sampling wastewater and applying WBE methods, wastewater-detectable pathogens such as viruses can be cheaply and effectively monitored, tracking people who might be missed or under-represented in...
journal article 2023
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Telikani, Akbar (author), Rudbardeh, Nima Esmi (author), Soleymanpour, Shiva (author), Shahbahrami, Asadollah (author), Shen, Jun (author), Gaydadjiev, G. (author), Hassanpour, Reza (author)
A problem with machine learning (ML) techniques for detecting intrusions in the Internet of Things (IoT) is that they are ineffective in the detection of low-frequency intrusions. In addition, as ML models are trained using specific attack categories, they cannot recognize unknown attacks. This article integrates strategies of cost-sensitive...
journal article 2023
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den Hertog, Koen (author)
Parkinson’s Disease is a neurodegenerative disease that has a decline in motor behaviour as one of its main symptoms. This decline is currently monitored using subjective measures, such as questionnaires and clinical observations. More detailed and objective tracking of this decline can improve treatment of the disease and allow for earlier...
master thesis 2022
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Cruset Pla, Eduard (author)
The democratization of data science, and in particular of the machine learning pipeline, has focused on the automation of model selection, feature processing, and hyperparameter tuning. Nevertheless, the need for high-quality data for increased performance has sparked interest in the inclusion of data augmentation in these automatic machine...
bachelor thesis 2022
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van den Akker, Daniel (author)
Multi-Layer Perceptron and Support Vector Machine have both been widely used in machine learning. In this research paper, these models have been applied to binary classification on an individual time series basis. The goal was to see whether they can predict earthquakes, using earthquakes measured at specific stations across New Zealand. As it...
bachelor thesis 2022
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Perez, S.M. (author), van de Berg, N.J. (author), Manni, Francesca (author), Lai, Marco (author), Rijstenberg, Lucia (author), Hendriks, B.H.W. (author), Dankelman, J. (author), Ewing-Graham, Patricia C. (author), Nieuwenhuyzen, G.M. (author), Van Beekhuizen, Heleen J. (author)
The most important prognostic factor for the survival of advanced-stage epithelial ovarian cancer (EOC) is the completeness of cytoreductive surgery (CRS). Therefore, an intraoperative technique to detect microscopic tumors would be of great value. The aim of this pilot study is to assess the feasibility of near-infrared hyperspectral imaging ...
journal article 2022
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Peruffo, A. (author), Mazo, M. (author)
We employ the scenario approach to compute probably approximately correct (PAC) bounds on the average inter-sample time (AIST) generated by an unknown PETC system, based on a finite number of samples. We extend the scenario optimisation to multiclass SVM algorithms in order to construct a PAC map between the concrete state-space and the inter...
journal article 2022
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Dos Santos, Rogério R. (author), Castro, Saullo G.P. (author)
The present study investigates how to apply continuous tow shearing (CTS) in a manufacturable design parameterization to obtain reduced imperfection sensitivity in lightweight, cylindrical shell designs. The asymptotic nonlinear method developed by Koiter is applied to predict the postbuckled stiffness, whose index is constrained to be...
journal article 2022
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AGARWAL, SARTHAK (author)
Causal inference is a familiar topic in biomedical research and a key concept in the study of connectivity in various physiological systems. This work aimed to analyse the coupling between the beat to beat parameters derived from ECG and respiration. It was the first time such an analysis was carried out in the context of finding the differences...
master thesis 2021
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O'Dwyer Wha Binda, Jahson (author)
In recent years there has been an increase in the number of patients for issues relating to mental illness. To this effect to help with this increase, schema mode assessment through a conversation agent is being used to conduct schema therapy, a form of psychological treatment. To train such an agent, training data labeled by humans is necessary...
bachelor thesis 2021
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Park, Jeongwoo (author)
In recent years, there has been an increasing number of patients with mental disorders. A conversational agent is being developed to ensure an easier diagnosis based on the chat between a patient and the agent. The objective of this research is to assess how well Support Vector Machine (SVM) classifies text into its corresponding schema, which...
bachelor thesis 2021
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van Es, Tim (author), Helfferich, Florens (author)
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia occurring in around 0.5% of the world population. AF is characterized by the rapid and irregular beating of the atrial chambers of the heart, which can cause lead to strokes and other heart-failures. To prevent these consequences the early detection of AF is paramount. Using...
bachelor thesis 2021
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Mohammadi, Majid (author), Mousavi, S. Hamid (author), Effati, Sohrab (author)
With the advancement in information technology, datasets with an enormous amount of data are available. The classification task on these datasets is more time- and memory-consuming as the number of data increases. The support vector machine (SVM), which is arguably the most popular classification technique, has disappointing performance in...
journal article 2021
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Teixeira, Rui (author), Nogal Macho, M. (author), O'Connor, Alan (author)
The present work reviews the implementation of adaptive metamodeling for reliability analysis with emphasis in four main types of metamodels: response surfaces, polynomial chaos expansions, support vector machines, and Kriging models. The discussion presented is motivated by the identified spread and little interaction between metamodeling...
journal article 2021
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Jin, Junling (author), Verbeurgt, J. (author), De Sloover, Lars (author), Stal, Cornelis (author), Deruyter, Greet (author), Montreuil, Anne Lise (author), Vos, S.E. (author), De Maeyer, Philippe (author), De Wulf, Alain (author)
Beach Surface Moisture (BSM) is a key attribute in the coastal investigations of land-atmospheric water and energy fluxes, groundwater resource budgets and coastal beach/dune development. In this study, an attempt has been made for the first time to estimate BSM from terrestrial LiDAR intensity data based on the Support Vector Regression (SVR...
journal article 2021
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Bron, Esther E. (author), Klein, Stefan (author), Papma, Janne M. (author), Jiskoot, Lize C. (author), Venkatraghavan, Vikram (author), Linders, Jara (author), Aalten, Pauline (author), De Deyn, Peter Paul (author), Niessen, W.J. (author)
This work validates the generalizability of MRI-based classification of Alzheimer's disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI). We used a conventional support vector machine (SVM) and a deep convolutional neural network ...
journal article 2021
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Meister, S. (author), Wermes, Mahdieu (author), Stueve, J. (author), Groves, R.M. (author)
In the aerospace industry, automated fibre laying processes are often applied for economical composite part fabrication. Unfortunately, the current mandatory visual quality assurance process takes up to 50% of the entire manufacturing time. An automised classification of manufacturing deviations using Neural Networks potentially improves the...
journal article 2021
Searched for: subject%3A%22support%255C+vector%255C+machines%22
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