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Liu, Kevin (author)This master’s thesis explores the application of Self-Supervised Contrastive Learning (SSCL), specifically the SimCLR algorithm, to enhance feature representation learning from Wafer Bin Maps (WBM) in the semiconductor manufacturing process. The motivation stems from the industry’s growing need for automated defect detection and root-cause...master thesis 2023
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van der Hoorn, Chris (author)The process industry is increasingly oriented towards automation. Use is made of both automated systems and human operators to control processes. For this control, operators can use computer systems to execute actions and conduct procedures. Automation of procedures can improve performance and safety, while reducing workload. Identifying...master thesis 2023
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van der Voort, Niels (author)Heart rate data and other data collected by consumer-grade wearable devices can give away quite useful information about the user. It can for example be used by machine learning algorithms such as Deep Neural Networks (DNN) to learn patterns about cardiovascular disease and fitness, or be used for identification. Heart rate patterns can also...bachelor thesis 2023
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Cheng, Yuxing (author)To analyze latent multiple specific patterns in the line-based public transport daily delay occurrence, a data-driven explorative analysis of public transport daily delay spatial-temporal distribution pattern is performed based on the k-means clustering algorithm. Firstly, we used aggregated daily delay profile to visualize how the delay is...student report 2023
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Tselentis, D. (author), Papadimitriou, E. (author)This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...journal article 2023
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Pan, Tanbo (author), Zheng, Yonglai (author), Zhou, Y. (author), Luo, Wenbin (author), Xu, Xubing (author), Hou, Chenyu (author), Zhou, Yujue (author)This study presents a damage pattern recognition approach for corroded steel beams strengthened by CFRP anchorage system based on acoustic emission clustering analysis. The proposed method includes four steps: acoustic emission signal acquisition, feature extraction, clustering analysis, and damage pattern recognition. Four corroded beams...journal article 2023
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Tselentis, D. (author), Papadimitriou, E. (author)Driving pattern recognition has been applied for the purposes of driving styles identification and harsh driving events detection. However, the evolution of driving behavior around and especially before such events has not been investigated at a microscopic level. The objective of this research is to reveal existing driving patterns around harsh...journal article 2023
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Boers, Milo (author)Nonintrusive Load Monitoring (NILM) can be used to disaggregate household energy<br/>usage collected from a central meter to the level of individual appliances, but has so far mostly been applied in controlled, small-scale settings. Further potential such as the application for energy efficiency classification and management have remained...master thesis 2022
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Willems, Rick (author)Mining activities at the Groningen gas field are causing earthquakes which result in building damage. This has started a discussion on what type of damage is caused by earthquakes. These discussions are typical in the forensic engineering field, especially in complex cases. The problem is the lack of regulations, in terms of standardizations and...master thesis 2022
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Chen, Chen (author), Qiao, Tiezhu (author), Pang, Y. (author), Hao, Guirong (author)In the process of industrial production of sapphire crystals, the seeding step plays a vital role. Seeding needs to be performed under conditions where the temperature gradient is small and the temperature distribution tends to be stable. At present, the industrial production of sapphire mainly relies on manual experience to control the seed...journal article 2022
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Abdul Madhar, S. (author)The electricity grid spanning hundreds of thousands of kms is one of the most complex man-made network built in human history. Today, after a century of growth, progress and innovation, the electricity grid is in the process of undergoing another landmark shift in its operation. The introduction of renewable energy sources, especially, offshore...doctoral thesis 2021
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den Heijer, Remco (author)Does a convolutional neural network (CNN) always have to be deep to learn a task? This is an important question as deeper networks are generally harder to train. We trained shallow and deep CNNs and evaluated their performance on simple regression tasks, such as computing the mean pixel value of an image. For these simple tasks we show that...bachelor thesis 2021
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Remmelzwaal, Dirk (author)Locality mapping captures the displacement imposed by a mirroring surface in anamorphic art. Establishing this mapping for a physical mirror, however, is a difficult task. Applying pattern matching on the distorted reflection is a promising technique, though existing pattern matching strategies are often ill equipped for this particular task....bachelor thesis 2021
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Abdul Madhar, S. (author), Mor, A. R. (author), Mraz, Petr (author), Ross, Robert (author)This paper presents the investigation on surface discharge behavior of various dielectric samples under DC. It sequentially develops the knowledge base for the study and analysis of the partial discharge (PD) defect with the goal of PD defect identification under DC. In order to facilitate this, the material properties of the dielectric are...journal article 2021
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van Driel, Noor (author)Reliable malaria diagnosis techniques that are suitable for point-of-care testing in high burden areas, are vital for effective treatment and monitoring of the disease. Identification of malaria parasites in Giemsa stained blood slides is currently the most widely accepted technique, but its availability is limited by the need for highly trained...master thesis 2020
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Li, Mengze (author)Active learning has the potential to reduce labeling costs in terms of time and money. In practical use, active learning works as an efficient data labeling strategy. Another point of view to look at active learning is to consider active learning as a learning problem, where the training data is queried by the active learner. Under this...master thesis 2020
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Laxminarayanan Raj Prabhu, N. (author)Social interactions in general are multifaceted and there exists an wide set of factors and events that influence them. Hence, interactions as a social phenomena have been studied by researchers in the fields of psychology and social signal processing from different stand points. The common trend in literature is to perform an in-depth study on...master thesis 2020
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Abdul Madhar, S. (author), Mraz, Petr (author), Mor, A. R. (author), Ross, Robert (author)Corona is one of the most common forms of partial discharge (PD) occurring in high voltage (HV) energy systems. The corona mechanism in air is not exclusive to the field of energy applications but has also been widely studied by physicists to theorize mechanisms of charge transfer during the different phases of gas discharge. The phases of the...journal article 2020
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Krishnakumari, P.K. (author)Cities are complex, dynamic and ever-evolving. We need to understand how these cities work in order to predict, control or optimize their operations. We have identified some open issues related to network and data complexity that need to be solved to build feasible methods for these purposes. To this end, we first build multiscale graphs...doctoral thesis 2020
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A dynamic OD prediction approach for urban networks based on automatic number plate recognition dataLiu, Jing (author), Zheng, Fangfang (author), van Zuylen, H.J. (author), Li, Jie (author)OD flows provide important information for traffic management and planning. The prediction of dynamic OD matrices gives the possibility to apply anticipatory traffic management measures. In this paper, we propose an OD prediction approach based on the data obtained by Automated Number Plate Recognition (ANPR) cameras. The principal component...journal article 2020