Searched for: subject%3A%22Pattern%255C+Recognition%22
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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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Harmsen, D. (author)
Design of a Partial Discharge Test Platform author: Daniel Harmsen thesis advisor (mentor): Dr. Armando Rodrigo Mor abstract: Partial discharge (PD) measurements are an effective tool for insulation diagnostics and assessment. Therefore, a good understanding of these PD measurements is an essential part of an electrical engineer’s background...
master thesis 2016
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Gonzalez Godinez, L.A. (author)
Wearable devices have paved way for several context-aware applications in the field of health-care and sports to improve the well-being of users and their performance for human augmentation. During rehabilitation patients need accurate feedback that can empower and improve the speed of recovery. On the other hand competitive athletes need a...
master thesis 2016
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Guédon, A.C.P. (author), Paalvast, M.S.M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), van der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)
Operating Room (OR) scheduling is crucial to allow efficient use of ORs. Currently, the predicted durations of surgical procedures are unreliable and the OR schedulers have to follow the progress of the procedures in order to update the daily planning accordingly. The OR schedulers often acquire the needed information through verbal...
journal article 2016
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Raats, J.M. (author), Van der Zwan, L.F. (author)
The Investment Department of ING asked us to build a model that predicts customer loyalty using the Net Promoter Score (NPS) system and a dashboard that would show the results of the model. With this model and dashboard ING may be able to get an insight into which groups of customers are at risk to complain.
bachelor thesis 2015
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Cheplygina, V. (author)
Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual feature vectors. For example, an image can be represented by a bag of instances, where each instance is a patch in that image. Only bag labels are given, however, the...
doctoral thesis 2015
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Paalvast, M. (author)
Each surgical procedure varies in length. There’s a need for dynamic planning to have an optimal patient flow from their beds to the operating room. This paper proposes an adaptive system that predicts the end of a gallbladder removal surgery 25 minutes in advance with the use of Support Vector Machines based on the activations of the...
master thesis 2015
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Guédon, A.C.P. (author), Paalvast, M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), Van Der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)
Efficiency in the Operating Room (OR) is a topic of growing interest. Planning of care is a crucial element to ensure optimal use of the ORs. Currently, OR scheduling is considered as a complex task based on predictions of surgery duration. The latter are often based on average times, but turn out to be inaccurate in practice because of...
conference paper 2015
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Sawaf, F. (author), Groves, R.M. (author)
Phase unwrapping is one of the key steps of interferogram analysis, and its accuracy relies primarily on the correct identification of phase discontinuities. This can be especially challenging for inherently noisy phase fields, such as those produced through shearography and other speckle-based interferometry techniques. We showed in a recent...
journal article 2014
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Palachanis, D. (author)
Cell differentiation is a natural process occurring in all higher organisms, since the early fetal stage of life. It is, also, a part of disease – such as cancer – as the cell cycle becomes deregulated and cells behave differently compared to healthy ones. Differentiation occurs although the genome of all cells is identical across all cell types...
master thesis 2014
Searched for: subject%3A%22Pattern%255C+Recognition%22
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