Searched for: subject%3A%22pattern%255C%2Brecognition%22
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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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Liu, 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
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Quek Yu Yang, Yu Yang (author)
Lameness is characterized by abnormal gait and is an indicator of various hoof diseases in cattle. Not only does this raise animal welfare issues, it also causes significant economic loss from reduced milk yield and fertility. Despite that, prevalence of lameness in dairy farms is high because farmers are unable to dedicate time and labor to...
master thesis 2019
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Papadakis, Manolis (author)
Biometrics authentication has been very useful and necessary nowadays due to the great developments in technology and the transaction of huge amounts of sensitive data on a daily basis. Traditionally, access to some data or service is achieved by means of some documents or a password. However, these methods are not very convenient. Alternatively...
master thesis 2019
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Naseri Jahfari, Arman (author)
Rainfall is increasing in frequency and intensity due to climate change. Hydrological models exist that can report bottlenecks in urban infrastructures. However, these require accurate rainfall estimations with high temporal and spatial resolution. The fulfillment of these requirements is challenged due to high costs. This can be solved with...
master thesis 2019
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Elghlan, Faris (author)
This M.Sc. thesis report investigates the application of one-class classification techniques to complex high-dimensional data. The aim of a one-class classifier is to separate target data from non-target data, but only a dataset containing target data is available for training. The issue with high-dimensional data is that it is difficult to...
master thesis 2019
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van Bergen, Thibaut (author), Ishiyama, Rui (author), Makino, Kengo (author), Kudo, Yuta (author), Takahashi, Toru (author), Goosen, J.F.L. (author)
This paper presents a novel framework and its prototype tool for indexing and retrieving specific fragments of voice recordings obtained during discussions about physical objects such as text documents, pictures, or 3D models. When a specific part of an object is mentioned, it is tagged with an ink dot that is immediately registered in a...
conference paper 2019
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Sulzer, Raphael (author)
The seismic building structural type (SBST) reflects the main load-bearing structure of a building and therefore its behaviour under seismic load. For numerous areas in earthquake prone regions this information is outdated, unavailable, or simply not existent. Traditional methods to gather this information, such as building-by-building...
master thesis 2018
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Gaitan Sabogal, S. (author)
Cities are vulnerable to local floods due to heavy rainfall. Urban flooding causes damage to buildings and contents, and also disturbs daily city activities as it entails drainage, transportation, and electricity interruptions. Urban flooding is expected to increase as climate change drives heavier rainfall events. Population and assets...
doctoral thesis 2017
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Elghlan, Faris (author), van Leest, Timo (author), van den Berg, Michiel (author)
Note: some parts of the abstract have been censored to hide company secrets.<br/><br/>This project was performed for Orchid N.V., an innovator in agriculture. The project focuses on their Scalar system. This is a system that consists out of multiple machines that automatically feed cows. While farmers are generally pleased with these systems, --...
bachelor thesis 2017
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Van Luyn, F. (author)
Driven by rising health care costs due to factors including advancing technology and an aging population, cost-effectiveness has become an increasingly important aspect of care delivery, with the operating room (OR) being a specific area of interest. By means of a surgical process model (SPM), OR systems can gain an understanding of clinical...
master thesis 2017
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