Searched for: subject:"Classification"
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Zhan, X. (author)
As an important carrier of information diffusion, social media has experienced a huge increase in the number of users and also has a big effect on the way of how information diffuses. For example, Facebook and Youtube have attracted more than 1.6 and 1.3 billion users until 2020, respectively. The use of internet and online social network have...
doctoral thesis 2020
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Gaida, T.C. (author)
With the increasing human activities in the marine environment, such as fisheries, dredging, coastal protection or construction of marine infrastructure, seabed sediment and habitat mapping have become highly relevant for the development of sustainable marine management strategies. Compared to traditional mapping methods, primarily based on bed...
doctoral thesis 2020
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Balado Frías, J. (author), González, E. (author), Verbree, E. (author), Díaz-Vilarino, L. (author), Lorenzo, H. (author)
Occlusions accompany serious problems that reduce the applicability of numerous algorithms. The aim of this work is to detect and characterize urban ground gaps based on occluding object. The point clouds for input have been acquired with Mobile Laser Scanning and have been previously segmented into ground, buildings and objects, which have...
journal article 2020
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Wiersma, R.T. (author), Eisemann, E. (author), Hildebrandt, K.A. (author)
This paper is concerned with a fundamental problem in geometric deep learning that arises in the construction of convolutional neural networks on surfaces. Due to curvature, the transport of filter kernels on surfaces results in a rotational ambiguity, which prevents a uniform alignment of these kernels on the surface. We propose a network...
journal article 2020
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Gaida, T.C. (author), van Dijk, T.A.G.P. (author), Snellen, M. (author), Vermaas, Tommer (author), Mesdag, Chris (author), Simons, D.G. (author)
Natural and man-induced coastal erosion endanger life and environment in coastal areas worldwide. For sedimentary barrier coasts, beach and underwater nourishments are an efficient coastal protection strategy. To optimize nourishments and to understand their impact on the marine environment, monitoring strategies are required. In this study,...
journal article 2020
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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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Xu, S. (author), Kooij, B.J. (author), Yarovoy, Alexander (author)
The joint Doppler and Direction-of-Arrival (DOA) estimation of moving targets using an (Ultra-)Wideband (UWB) frequency modulated continuous-wave (FMCW) antenna array radar is investigated. Besides the well-known range migration problem, another concern for wideband signals is the DOA estimation problem. For the first time, both problems are...
journal article 2020
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Anyansi, C.A. (author), Keo, D. (author), Walker, Bruce J. (author), Straub, Timothy J. (author), Manson, Abigail L. (author), Earl, Ashlee M. (author), Abeel, T.E.P.M.F. (author)
Background: Mixed infections of Mycobacterium tuberculosis and antibiotic heteroresistance continue to complicate tuberculosis (TB) diagnosis and treatment. Detection of mixed infections has been limited to molecular genotyping techniques, which lack the sensitivity and resolution to accurately estimate the multiplicity of TB infections. In...
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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van der Slikke, R.M.A. (author), Berger, Monique A.M. (author), Bregman, D.J.J. (author), Veeger, H.E.J. (author)
Athlete impairment level is an important factor in wheelchair mobility performance (WMP) in sports. Classification systems, aimed to compensate impairment level effects on performance, vary between sports. Improved understanding of resemblances and differences in WMP between sports could aid in optimizing the classification methodology....
journal article 2020
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Hafeez, Ibbad (author), Antikainen, Markku (author), Ding, Aaron Yi (author), Tarkoma, Sasu (author)
IoT devices are notoriously vulnerable even to trivial attacks and can be easily compromised. In addition, resource constraints and heterogeneity of IoT devices make it impractical to secure IoT installations using traditional endpoint and network security solutions. To address this problem, we present IoT-Keeper, a lightweight system which...
journal article 2020
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Gaida, T.C. (author), Mohammadloo, Tannaz H. (author), Snellen, M. (author), Simons, D.G. (author)
Multi-frequency multibeam backscatter (BS) has indicated, in particular for fine sediments, the potential for increasing the discrimination between different seabed environments. Fine sediments are expected to have a varying signal penetration within the frequency range of modern multibeam echosounders (MBESs). Therefore, it is unknown to...
journal article 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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Akgün, O.C. (author), Mei, J. (author)
This paper presents the design of an ultra-low energy neural network that uses time-mode signal processing). Handwritten digit classification using a single-layer artificial neural network (ANN) with a Softmin-based activation function is described as an implementation example. To realize time-mode operation, the presented design makes use of...
journal article 2020
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Lu, S. (author), ten Veldhuis, Marie-claire (author), van de Giesen, N.C. (author), Heemink, A.W. (author), Verlaan, M. (author)
Satellite and reanalysis precipitation products perform poorly over regions with low-density ground observation networks. In order to improve space-dependent parameterization of precipitation estimation models in data-scarce environments, the delineation boundaries of precipitation regimes should be accurately identified. Existing approaches...
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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Gurbuz, Sevgi Z. (author), Rahman, M. Mahbubur (author), Kurtoglu, Emre (author), Macks, Trevor (author), Fioranelli, F. (author)
Deep neural networks have become increasingly popular in radar micro-Doppler classification; yet, a key challenge, which has limited potential gains, is the lack of large amounts of measured data that can facilitate the design of deeper networks with greater robustness and performance. Several approaches have been proposed in the literature...
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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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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Lai, Marco (author), Skyrman, Simon (author), Shan, Caifeng (author), Paulussen, Elvira (author), Manni, Francesca (author), Swamy, A. (author), Babic, Drazenko (author), Edstrom, Erik (author), Persson, Oscar (author), Burstrom, Gustav (author), Elmi-Terander, Adrian (author), Hendriks, B.H.W. (author), De With, Peter H.N. (author)
In neurosurgery, technical solutions for visualizing the border between healthy brain and tumor tissue is of great value, since they enable the surgeon to achieve gross total resection while minimizing the risk of damage to eloquent areas. By using real-time non-ionizing imaging techniques, such as hyperspectral imaging (HSI), the spectral...
conference paper 2020
Searched for: subject:"Classification"
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