Searched for: subject%3A%22time%255C+series%22
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Cucuringu, Mihai (author), Pizzoferrato, Andrea (author), van Gennip, Y. (author)
We introduce a principled method for the signed clustering problem, where the goal is to partition a weighted undirected graph whose edge weights take both positive and negative values, such that edges within the same cluster are mostly positive, while edges spanning across clusters are mostly negative. Our method relies on a graph-based...
journal article 2021
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Nikaein, T. (author), Iannini, L. (author), Molijn, R.A. (author), López-Dekker, Paco (author)
Synthetic aperture radar (SAR) acquisitions are mainly deemed suitable for mapping dynamic land-cover and land-use scenarios due to their timeliness and reliability. This particularly applies to Sentinel-1 imagery. Nevertheless, the accurate mapping of regions characterized by a mixture of crops and grasses can still represent a challenge....
journal article 2021
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Yang, M. (author)
Multi-epoch Synthetic Aperture Radar Interferometry (InSAR) is widely used to estimate displacements of selected scatterers from phase observations. However, their interpretation needs a connection to objects in the real world. <br/><br/>To associate InSAR scatterers to their corresponding geo-objects, it is necessary to (i) accurately estimate...
doctoral thesis 2020
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Özer, I.E. (author)
Flood defense systems are critical in protecting against catastrophic events which often lead to significant damage, fatalities or substantial socio-economic and environmental impact. Even though levees form a significant part of the existing flood defense systems, there is a limited knowledge of the different levee behavior processes and the...
doctoral thesis 2020
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Zeng, Q. (author)
Company performance measurement is fundamental for decision-makers to monitor a company's performance and to solve management problems. The evolution of company performance measurement tools started from a pure financial-biased framework. The first generation of company performance measurement tools was achieved through supplementing the...
doctoral thesis 2020
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Rajabi, Mahmoud (author), Amiri Simkooei, A. (author), Nahavandchi, Hossein (author), Nafisi, Vahab (author)
Knowledge on the ionospheric total electron content (TEC) and its prediction are of great practical importance and engineering relevance in many scientific disciplines. We investigate regular ionospheric anomalies and TEC prediction by applying the least squares harmonic estimation (LS-HE) technique to a 15 year time series of the vertical...
journal article 2020
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Obergfell, C.C.A. (author)
The objective of this thesis is twofold: to develop time series analysis methods for the estimation of aquifer parameters and recharge to be used in groundwater models and to develop time series analysis methods for the identification and quantification of a regime change.<br/>In Chapter 2, a pumping test is replaced by time series analysis of...
doctoral thesis 2020
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Minh, Dinh Ho Tong (author), Hanssen, R.F. (author), Rocca, Fabio (author)
The research and improvement of methods to be used for deformation measurements from space is a challenge. From the previous 20 years, time series Synthetic Aperture Radar (SAR) interferometry techniques have proved for their ability to provide millimeter-scale deformation measurements over time. This paper aims to provide a review of such...
journal article 2020
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Erba, Alessandro (author), Taormina, R. (author), Galelli, Stefano (author), Pogliani, Marcello (author), Carminati, Michele (author), Zanero, Stefano (author), Tippenhauer, Nils Ole (author)
Recently, reconstruction-based anomaly detection was proposed as an effective technique to detect attacks in dynamic industrial control networks. Unlike classical network anomaly detectors that observe the network traffic, reconstruction-based detectors operate on the measured sensor data, leveraging physical process models learned a priori....
conference paper 2020
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Azhari, M. (author), Altamimi, Z. (author), Azman, G. (author), Kadir, M. (author), Simons, W.J.F. (author), Sohaime, R. (author), Yunus, M. Y. (author), Irwan, M. J. (author), Asyran, C. A. (author)
Malaysia is located at the stable part of the tec-tonic Sundaland platelet in SE Asia. The platelet is surrounded in almost every direction by tectonically active convergent boundaries, at which the Philippine Sea, the Australian and the Indian Plates are subducting respectively from the East, South and West.The current Malaysia geodetic...
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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Urgilez Vinueza, A.R. (author), Robles, Jessica (author), Bakker, M. (author), Guzman, Pablo (author), Bogaard, T.A. (author)
The high landslide risk potential along the steep hillslopes of the Eastern Andes in Ecuador provides challenges for hazard mitigation, especially in areas with hydropower dams and reservoirs. The objective of this study was to characterize, understand, and quantify the mechanisms driving the motions of the Guarumales landslide. This 1.5 km...
journal article 2020
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Shen, Qiaomu (author), Wu, Yanhong (author), Jiang, Yuzhe (author), Zeng, Wei (author), Lau, Alexis K.H. (author), Vilanova Bartroli, A. (author), Qu, Huamin (author)
Recent attempts at utilizing visual analytics to interpret Recurrent Neural Networks (RNNs) mainly focus on natural language processing (NLP) tasks that take symbolic sequences as input. However, many real-world problems like environment pollution forecasting apply RNNs on sequences of multi-dimensional data where each dimension represents an...
conference paper 2020
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Natali, A. (author), Isufi, E. (author), Leus, G.J.T. (author)
The forecasting of multi-variate time processes through graph-based techniques has recently been addressed under the graph signal processing framework. However, problems in the representation and the processing arise when each time series carries a vector of quantities rather than a scalar one. To tackle this issue, we devise a new framework and...
conference paper 2020
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den Ouden, O.F.C. (author), Assink, Jelle D. (author), Smets, P.S.M. (author), Shani-Kadmiel, Shahar (author), Averbuch, G. (author), Evers, L.G. (author)
The detection and characterization of signals of interest in the presence of (in)coherent ambient noise is central to the analysis of infrasound array data. Microbaroms have an extended source region and a dynamical character. From the perspective of an infrasound array, these coherent noise sources appear as interfering signals which...
journal article 2020
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Lin, Q. (author), Zhang, Yihuan (author), Verwer, S.E. (author), Wang, Jun (author)
This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like...
journal article 2019
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Averbuch, G. (author), Ben-Horin, Yochai (author), Smets, P.S.M. (author), Evers, L.G. (author)
Measurements of seismo-acoustic events by collocated seismic and infrasound arrays allow for studying the two wavefields that were produced by the same event. However, some of the scientific and technical constraints on the building of the two technologies are different and may be contradicting. For the case of a new station, an optimal design...
journal article 2019
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de Nie, Ruben (author), Leontaris, G. (author), Hoogendoorn, Don (author), Wolfert, A.R.M. (author)
Installation and maintenance operations of offshore assets are impacted by local environmental conditions such as wave height and period, wind speed and current velocity. These parameters are substantially of influence for the asset planning (time and costs) given the uncertainty of operational windows. In this article, a method is proposed to...
journal article 2019
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Obergfell, C.C.A. (author), Bakker, M. (author), Maas, C. (author)
A new method is presented to estimate average diffuse aquifer recharge of water table aquifers in temperate climates using time series analysis of water table level fluctuations. An accurate estimate of the recharge caused by rainfall requires an accurate estimate of the influence of evaporation. In temperate climates, evaporation imprints a...
journal article 2019
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Bruijn, Willem E.L. (author), Rip, Jolien (author), Hendriks, Antoon J.H. (author), van Gelder, P.H.A.J.M. (author), Jonkman, Sebastiaan N. (author)
A marine project consists of series of operations, with each operation subject to a predefined operational limit and duration. If actual weather conditions exceed the operational limit, the operation cannot be executed and hence downtime occurs. An accurate assessment of uncertainties and the expected downtime during a marine project is...
journal article 2019
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