Searched for: subject%3A%22time%255C%2Bseries%255C%2Banalysis%22
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Verhagen, Alexandra (author)
Accurate capacity planning is essential to ensure uninterrupted services and network stability through peak hours for the transport core network of KPN. This involves a trade-off between minimizing the risks of capacity shortages and costs of capacity expansions. High network loads are occurring more frequently and their magnitude is increasing....
master thesis 2024
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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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Alers, Tim (author)
The visibility graph has gained traction as a method for time series analysis. Through this method, it is possible to detect or quantify non-linear behavior in a myriad of fields and applications. This thesis explores the variations of visibility graphs, describes how they are used in literature and investigates what lies at the foundation of...
master thesis 2023
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Tung, Yu (author)
The study of energy consumption across various building clusters offers a path to discerning intricate patterns and establishing energy efficiency metrics. However, these analyses have mostly been limited to small, controlled settings, leaving a vast potential for broader application in energy efficiency management and classification untapped....
master thesis 2023
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Üzel, Ziyar (author)
Accurate short-term traffic forecasting plays a crucial role in Intelligent Transportation Systems for effective traffic management and planning. In this study, the performances of three popular forecasting models are explored: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Facebook's Prophet, for short-term...
bachelor thesis 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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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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Beens, Tim (author)
For the future demand prediction of identification documents the National Office for Identity Data is interested in a new prediction model based on machine learning techniques. Due to the existence of many different machine learning algorithms and the often competing model requirements regarding model performance and explainability it can be...
master thesis 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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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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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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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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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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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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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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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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Vonk, Martin (author)
Transfer function noise (TFN) modelling is a form of time series analysis which regularly uses the recharge as a stress to explain the groundwater table fluctuations. Often the recharge flux is estimated as a linear combination of the precipitation and the (potential) evaporation. However, this is a simplification of the actual hydrological...
master thesis 2021
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Kaźmierczak, Adrianna (author)
A satellite remote sensing technique, Interferometric Synthetic Aperture Radar (InSAR), is able to provide surface displacement information on a millimeter level. In this study, data from the TerraSAR-X satellite collected in the years 2009-2018 over the area of Amsterdam is used. Even though radar data is a subject to multi-step processing,...
master thesis 2021
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Krijnen, Petri (author)
This master thesis provides an approach to develop Adaptation Pathways to prevent local flooding of the Dutch national highway network, using the A2 between the Vught and Sint-Michielsgestel junctions as a case study. Local flooding as result of extreme precipitation has the highest urgency on the Dutch national highway network, due to its...
master thesis 2021
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