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An efficient deep learning approach for ground point filtering in aerial laser scanning point cloudsNurunnabi, A. (author), Teferle, F. N. (author), Li, J. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)Ground surface extraction is one of the classic tasks in airborne laser scanning (ALS) point cloud processing that is used for three-dimensional (3D) city modelling, infrastructure health monitoring, and disaster management. Many methods have been developed over the last three decades. Recently, Deep Learning (DL) has become the most dominant...journal article 2021
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Lourenço Baptista, M. (author), Henriques, Elsa M.P. (author), Prendinger, Helmut (author)Traditionally, prognostics approaches to predictive maintenance have focused on estimating the remaining useful life of the equipment. However, from an industrial point of view, the goal is often not to predict the residual life but to determine the need for a maintenance action at a given time window. This approach allows us to frame the...journal article 2021
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Skrodzki, M. (author), Zimmermann, Eric (author)In this paper, we define and evaluate a weighting scheme for neighborhoods in point sets. Our weighting takes the shape of the geometry, i.e., the normal information, into account. This causes the obtained neighborhoods to be more reliable in the sense that connectivity also depends on the orientation of the point set. We utilize a sigmoid to...journal article 2021
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Sayin, Burcu (author), Krivosheev, Evgeny (author), Yang, J. (author), Passerini, Andrea (author), Casati, Fabio (author)Training data creation is increasingly a key bottleneck for developing machine learning, especially for deep learning systems. Active learning provides a cost-effective means for creating training data by selecting the most informative instances for labeling. Labels in real applications are often collected from crowdsourcing, which engages...journal article 2021
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Wesselius, F.J. (author), van Schie, M.S. (author), de Groot, N.M.S. (author), Hendriks, R.C. (author)Aims: Automated detection of atrial fibrillation (AF) in continuous rhythm registrations is essential in order to prevent complications and optimize treatment of AF. Many algorithms have been developed to detect AF in surface electrocardiograms (ECGs) during the past few years. The aim of this systematic review is to gain more insight into...review 2021
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van der Heijden, D.S. (author), Ledergerber, Anton (author), Gill, Rajan (author), D'Andrea, Raffaello (author)An iterative bias estimation framework is presented that mitigates position-dependent ranging errors often present in ultra-wideband localization systems. State estimation and control are integrated, such that the positioning accuracy improves over iterations. The framework is experimentally evaluated on a quadcopter platform, resulting in...journal article 2021
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Widyaningrum, E. (author), Bai, Q. (author), Fajari, Marda K. (author), Lindenbergh, R.C. (author)Classification of aerial point clouds with high accuracy is significant for many geographical applications, but not trivial as the data are massive and unstructured. In recent years, deep learning for 3D point cloud classification has been actively developed and applied, but notably for indoor scenes. In this study, we implement the point-wise...journal article 2021
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Ali, A. (author), Dodou, D. (author), Smit, G. (author), Rink, Ruben (author), Breedveld, P. (author)Positioning and stabilizing a catheter at the required location inside a vessel or the heart is a complicated task in interventional cardiology. In this review we provide a structured classification of catheter stabilization mechanisms to systematically assess their challenges during cardiac interventions. Commercially available, patented,...review 2021
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Bai, N. (author), Luo, Renqian (author), Nourian, Pirouz (author), Pereira Roders, A. (author)The UNESCO World Heritage List (WHL) includes the exceptionally valuable cultural and natural heritage to be preserved for mankind. Evaluating and justifying the Outstanding Universal Value (OUV) is essential for each site inscribed in the WHL, and yet a complex task, even for experts, since the selection criteria of OUV are not mutually...conference paper 2021
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Castro Heredia, L.C. (author), Mor, A. R. (author), Wu, J. (author)The problem of impaired data sets refers to data sets containing a vast majority of unwanted signals than signals of interest. With increased interest in partial discharge (PD) testing with arbitrary waveforms and transients, these kind of data sets are becoming more and more common. Traditional clustering techniques cannot be applied due to big...journal article 2020
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De Witte, A. M.H. (author), van der Slikke, R.M.A. (author), Berger, M. A.M. (author), Hoozemans, M. J.M. (author), Veeger, H.E.J. (author), Van Der Woude, L. H.V. (author)OBJECTIVE: The purpose of this study was to determine the effects of seat height, wheelchair mass and grip on mobility performance among wheelchair basketball players and to investigate whether these effects differ between classification levels. METHODS: Elite wheelchair basketball players with a low (n= 11, class 1 or 1.5) or high (n= 10,...journal article 2020
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Castillo, Jose M.T. (author), Arif, Muhammad (author), Niessen, W.J. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep learning approaches has gained much interest, due to the potential application in assisting in clinical decision-making. Objective: To systematically review the literature (i) to determine which algorithms are most frequently used for sPCa classification...journal article 2020
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Prina, Matteo Giacomo (author), Manzolini, Giampaolo (author), Moser, David (author), Nastasi, B. (author), Sparber, Wolfram (author)This paper reviews the classification schemes used for bottom-up energy system modelling and proposes a novel one as re-elaboration of the previous schemes. Moreover, this paper identifies that the main challenges of this research field rotate around the concept of resolution. A matrix of challenges in which four main fields are identified:...review 2020
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Buswell, R. A. (author), da Silva, W. R.Leal (author), Bos, F. P. (author), Schipper, H.R. (author), Lowke, D. (author), Hack, N. (author), Kloft, H. (author), Mechtcherine, V. (author), Wangler, T. (author), Roussel, N. (author)Digital Fabrication with Concrete (DFC) encompasses 3D Concrete Printing (3DCP) and many other methods of production. DFC is emerging from an era of invention and demonstration to one where the merits of one principle over another needs to be quantified systematically. DFC technologies vary in characteristics, complexity and maturity which...journal article 2020
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Ghorbani, R. (author), Ghousi, Rouzbeh (author), Makui, Ahmad (author), Atashi, Alireza (author)Due to the development of biomedical equipment and healthcare level, especially in the Intensive Care Unit (ICU), a considerable amount of data has been collected for analysis. Mortality prediction in the ICUs is considered as one of the most important topics in the healthcare data analysis section. A precise prediction of the mortality risk...journal article 2020
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Abdelaal, T.R.M. (author), Michielsen, L.C.M. (author), Cats, Davy (author), Hoogduin, Dylan (author), Mei, Hailiang (author), Reinders, M.J.T. (author), Mahfouz, A.M.E.T.A. (author)Background: Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are time-consuming and irreproducible. The exponential growth in the number of...journal article 2019
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de Ronde, Anouk (author), van Aken, Marja (author), de Puit, M. (author), de Poot, Christianne (author)In this paper, we describe a promising method to evaluate the location of fingermarks on two-dimensional objects, which provides valuable information for the evaluation of fingermarks at activity level. For this purpose, an experiment with pillowcases was conducted at the Dutch music festival Lowlands, to test whether the activity ‘smothering...journal article 2019
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van Helmond, W. (author), van Herwijnen, Annemijn W. (author), van Riemsdijk, Joëlle J.H. (author), van Bochove, Marc A. (author), de Poot, Christianne J. (author), de Puit, M. (author)Fingerprints are widely used in forensic science for individualization purposes. However, not every fingermark found at a crime scene is suitable for comparison, for instance due to distortion of ridge detail, or when the reference fingerprint is not in the database. To still retrieve information from these fingermarks, several studies have...journal article 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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Peters, R.Y. (author)A geographical point cloud is a detailed three-dimensional representation of the geometry of our geographic environment. Using geographical point cloud modelling, we are able to extract valuable information from geographical point clouds that can be used for applications in asset management, crisis management, city and landscape planning, and...doctoral thesis 2018