Searched for: subject%3A%22Time%255C+series%255C+analysis%22
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Marsman, C. P. (author), Vossepoel, F.C. (author), Van Dinther, Y. (author), Govers, R. (author)
Bayesian-based data assimilation methods integrate observational data into geophysical forward models to obtain the temporal evolution of an improved state vector, including its uncertainties. We explore the potential of a variant, a particle method, to estimate mechanical parameters of the overriding plate during the interseismic period....
journal article 2024
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Reinicke, Christian (author), Dukalski, Marcin (author), Wapenaar, C.P.A. (author)
Minimum-phase properties are well-understood for scalar functions where they can be used as physical constraint for phase reconstruction. Existing scalar applications of the latter in geophysics include, for example the reconstruction of transmission from acoustic reflection data, or multiple elimination via the augmented acoustic Marchenko...
journal article 2023
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Presekal, A. (author), Stefanov, Alexandru (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author)
Electrical power grids are vulnerable to cyber attacks, as seen in Ukraine in 2015 and 2016. However, existing attack detection methods are limited. Most of them are based on power system measurement anomalies that occur when an attack is successfully executed at the later stages of the cyber kill chain. In contrast, the attacks on the Ukrainian...
journal article 2023
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Urgilez Vinueza, A.R. (author), Handwerger, Alexander L. (author), Bakker, M. (author), Bogaard, T.A. (author)
Slow-moving landslides move downslope at velocities that range from mm year<sup>−1</sup> to m year<sup>−1</sup>. Such deformations can be measured using satellite-based synthetic aperture radar interferometry (InSAR). We developed a new method to systematically detect and quantify accelerations and decelerations of slowly deforming areas...
journal article 2022
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Chatterjee, Sarthak (author), Gonçalves Melo Pequito, S.D. (author)
Discrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory. Applications include neurophysiological signals such as electroencephalogram (EEG) and electrocorticogram (ECoG). Although learning the spatiotemporal parameters of...
conference paper 2022
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Brakenhoff, Davíd A. (author), Vonk, M.A. (author), Collenteur, Raoul A. (author), Van Baar, Marco (author), Bakker, M. (author)
In 2018–2020, meteorological droughts over Northwestern Europe caused severe declines in groundwater heads with significant damage to groundwater-dependent ecosystems and agriculture. The response of the groundwater system to different hydrological stresses is valuable information for decision-makers. In this paper, a reproducible, data-driven...
journal article 2022
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den Ouden, O.F.C. (author), Assink, Jelle D. (author), Smets, P.S.M. (author), Evers, L.G. (author)
The ambient infrasonic noise field is complex due to the interference of spatially distributed infrasound sources. Microbaroms are one of the most dominant omnipresent infrasonic sources within this wavefield. These microbaroms are generated by nonlinear ocean surface wave interactions, and have a characteristic and continuous signature...
journal article 2022
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Money, Rohan (author), Krishnan, Joshin (author), Beferull-Lozano, Baltasar (author), Isufi, E. (author)
An online algorithm for missing data imputation for networks with signals defined on the edges is presented. Leveraging the prior knowledge intrinsic to real-world networks, we propose a bi-level optimization scheme that exploits the causal dependencies and the flow conservation, respectively via &lt;italic&gt;(i)&lt;/italic&gt; a sparse line...
journal article 2022
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He, Yuxin (author), Li, L. (author), Zhu, X. (author), Tsui, Kwok Leung (author)
Short-term forecasting of passenger flow is critical for transit management and crowd regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven by other latent factors, and exogenous factors bring challenges to the short-term forecasts of passenger flow of urban rail transit networks. An innovative deep...
journal article 2022
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Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)
Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...
journal article 2022
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de Gelder, E. (author), Hof, Jasper (author), Cator, Eric (author), Paardekooper, Jan Pieter (author), Camp, Olaf Op den (author), Ploeg, Jeroen (author), De Schutter, B.H.K. (author)
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidate is scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained from driving...
journal article 2022
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Yu, Hang (author), Wu, Songwei (author), Dauwels, J.H.G. (author)
Estimating a sequence of dynamic undirected graphical models, in which adjacent graphs share similar structures, is of paramount importance in various social, financial, biological, and engineering systems, since the evolution of such networks can be utilized for example to spot trends, detect anomalies, predict vulnerability, and evaluate...
journal article 2022
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Nguyen, T.T. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)
Highway bottlenecks are responsible for the majority of traffic congestion. Although the problem of bottleneck detection is not new, contemporary methods have not solved the problem thoroughly with regards to bottleneck locations, activation time, and related congestion tracking. These elements are essential for identifying and characterizing a...
journal article 2021
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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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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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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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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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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
Searched for: subject%3A%22Time%255C+series%255C+analysis%22
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