Searched for: subject%3A%22supervised%255C+machine%255C+learning%22
(1 - 15 of 15)
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van Winden, Brian (author)
Introduction<br/>Approximately 9 in 1000 children are born with congenital heart disease (CHD), of whom a quarter are classified as critical CHD (CCHD) and require an intervention within their first year. Monitoring these patients in the Paediatric Intensive Care Unit (PICU) is crucial, yet with increasing amounts of data, detecting subtle...
master thesis 2024
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Kazmi, Syed Baqir Ali (author)
This dissertation endeavors to introduce a novel supervised Structural Health Monitoring (SHM) methodology for the detection of damage and the prediction of fatigue life in asphalt concrete materials. Grounded in the principles of S-N (strain-number of cycles until failure) curves, this research addresses the intricate task of proficiently...
master thesis 2023
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CHANOPOULOU, IOANNA (author)
Convolutional Neural Networks (CNNs) have emerged primarily from research focusing on image classification tasks and as a result, most of the well-motivated design choices found in literature are relevant to computer vision applications. CNNs' application on Imaging Mass Spectrometry (IMS) data is quite recent and involves new challenges, such...
master thesis 2023
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Beets, Simon (author)
master thesis 2023
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Zhang, Lanxin (author), Dong, Y. (author), Farah, H. (author), Zgonnikov, A. (author), van Arem, B. (author)
Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the accumulation of naturalistic driving data, many ML models have been adopted for abnormal driving behavior detection. Most existing ML-based detectors rely on (fully)...
poster 2023
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Anderson, David M G (author), Kotnala, Ankita (author), Migas, L.G. (author), Patterson, N. Heath (author), Tideman, L.E.M. (author), Ach, Thomas (author), Tortorella, Sara (author), Van de Plas, Raf (author), Curcio, Christine A. (author), Schey, Kevin L. (author)
Introduction: Age related macular degeneration (AMD) causes legal blindness worldwide, with few therapeutic targets in early disease and no treatments for 80% of cases. Extracellular deposits, including drusen and subretinal drusenoid deposits (SDD; also called reticular pseudodrusen), disrupt cone and rod photoreceptor functions and strongly...
journal article 2023
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Oncescu, Andreea Maria (author), Cicirello, A. (author)
A self-supervised classification algorithm is proposed for detecting and isolating sensor faults of health monitoring devices. This is achieved by automatically extracting information from failure investigations. This approach uses (i) failure reports for extracting comprehensive failure labels; (ii) recorded data of a faulty monitoring...
conference paper 2023
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Provó Kluit, Mark (author)
Large­scale machine learning frameworks can accelerate training of a neural network by per­ forming distributed training on a cluster using multiple GPUs per node and multiple nodes. Because distributed training on a cluster involves many nodes which need to communicate and load and exchange data, a machine learning framework may at certain...
master thesis 2022
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Glab, K.B. (author), Wehrmeyer, G. (author), Thewes, M (author), Broere, W. (author)
A significant part of the energy consumed during the tunnelling process of Earth Pressure Balanced (EPB) Tunnel Boring Machines (TBMs) is related to the main drive, consisting of a set of motors driving the rotation of the cutting wheel. An energy efficient EPB design requires the optimization of the main drive to avoid over- or under powering...
conference paper 2022
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Chu, L. (author), Nelen, Jeroen (author), Höller, L. (author), Lasch, Hülya (author), Schubert, Dirk (author), Hein, C.M. (author), Lofi, C. (author)
Long-term exposure to ambient air pollution is one of the main public health concerns worldwide. Exposure to air pollution is highly related to a range of diseases including respiratory and cardiovascular diseases, such as lung cancers, asthma, diabetes, irregular heartbeat, stroke and obesity [1-3]. The outbreak of the pathogenic agent of...
poster 2022
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Tideman, L.E.M. (author), Migas, L.G. (author), Djambazova, Katerina V. (author), Patterson, Nathan Heath (author), Caprioli, Richard M. (author), Spraggins, Jeffrey M. (author), Van de Plas, Raf (author)
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impractical due to the large size and high-dimensionality of IMS datasets. Instead, we propose an...
journal article 2021
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Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
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Muller, Jelle (author)
The offshore wind industry has grown rapidly over the last decade and drivetrains are increasing in size to reduce the cost of energy. These turbines are operating in a harsh environment. Adopting a preventive maintenance strategy is important to achieve an as high as possible availability of the farm and reduce the cost of maintenance. A well...
master thesis 2019
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Baltussen, E. J.M. (author), Brouwer de Koning, S. G. (author), Sanders, J. (author), Aalbers, A.G.J. (author), Kok, N. F.M. (author), Beets, G. L. (author), Hendriks, B.H.W. (author), Sterenborg, H. J.C.M. (author), Kuhlmann, K. F.D. (author), Ruers, T. J.M. (author)
Background: In colorectal cancer surgery there is a delicate balance between complete removal of the tumor and sparing as much healthy tissue as possible. Especially in rectal cancer, intraoperative tissue recognition could be of great benefit in preventing positive resection margins and sparing as much healthy tissue as possible. To better...
journal article 2019
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Cremer, Jochen (author), Konstantelos, Ioannis (author), Tindemans, Simon H. (author), Strbac, Goran (author)
Supervised machine learning has been successfully used in the past to infer a system's security boundary by training classifiers (also referred to as security rules) on a large number of simulated operating conditions. Although significant research has been carried out on using classifiers for the detection of critical operating points, using...
journal article 2019
Searched for: subject%3A%22supervised%255C+machine%255C+learning%22
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