Searched for: subject:"classification"
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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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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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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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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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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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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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Abdelaal, T.R.M. (author), Michielsen, Lieke 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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Amiri Simkooei, A. (author), Koop, L. (author), van der Reijden, Karin J. (author), Snellen, M. (author), Simons, D.G. (author)
Seafloor characterization using multibeam echosounder (MBES) backscatter data is an active field of research. The observed backscatter curve (OBC) is used in an inversion algorithm with available physics-based models to determine the seafloor geoacoustic parameters. A complication is that the OBC cannot directly be coupled to the modeled...
journal article 2019
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Nguyen, T.T. (author), Krishnakumari, P.K. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)
Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear and...
journal article 2019
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Meijer, D.W.J. (author), Scholten, L. (author), Clemens, F.H.L.R. (author), Knobbe, Arno (author)
Sewer pipes are commonly inspected in situ with CCTV equipment. The CCTV footage is then reviewed by human operators in order to classify defects in the pipes and make a recommendation on possible interventions. This process is both labor-intensive and error-prone. Other researchers have suggested machine learning techniques to (partially)...
journal article 2019
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Saeedifar, M. (author), Saleh, M.A.S.N. (author), Teixeira De Freitas, S. (author), Zarouchas, D. (author)
The aim of the present study is to characterize the damage in bi-material steel-to-composite double-lap adhesively-bonded joints using Acoustic Emission (AE). Two different structural adhesives, a ductile (Methacrylate-based) and brittle (Epoxy-based), were used to bond CFRP skins to a steel core. The fabricated joints were loaded in tension...
journal article 2019
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Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)
There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms. Support tensor machine (STM) and support Tucker machine (STuM) are two typical tensor generalization of the conventional support vector machine (SVM). However, the expressive power of STM is restrictive due to its rank-one...
conference paper 2019
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Ewald, V.A. (author), Groves, R.M. (author), Benedictus, R. (author)
In our previous work, we demonstrated how to use inductive bias to infuse a convolutional neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE. We extend this concept to SHM and therefore in this paper, we present a novel framework called DeepSHM which involves data augmentation of captured sensor signals...
conference paper 2019
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Pascarella, L. (author), Bruntink, Magiel (author), Bacchelli, A. (author)
Code comments are a key software component containing information about the underlying implementation. Several studies have shown that code comments enhance the readability of the code. Nevertheless, not all the comments have the same goal and target audience. In this paper, we investigate how 14 diverse Java open and closed source software...
journal article 2019
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Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author)
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...
journal article 2019
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Bodnar, T. (author), Mazur, S. (author), Ngailo, E. (author), Parolya, N. (author)
We study the distributional properties of the linear discriminant function under the assumption of normality by comparing two groups with the same covariance matrix but different meanvectors. A stochastic representation for the discriminant function coefficients is derived, which is thenused to obtain their asymptotic distribution under the high...
journal article 2019
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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be a valuable source of ship behavior analysis using data mining. It records ship position, speed and other behavior attributes at specific time intervals in all voyages at sea and in ports. However, the current studies in ship behavior analyze the...
journal article 2019
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Dukai, B. (author), Ledoux, H. (author), Stoter, J.E. (author)
The 3D representation of buildings with roof shapes (also called LoD2) is popular in the 3D city modelling domain since it provides a realistic view of 3D city models. However, for many application block models of buildings are sufficient or even more suitable. These so called LoD1 models can be reconstructed relatively easily from building...
journal article 2019
Searched for: subject:"classification"
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