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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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Ooms, J.C. (author)This thesis investigates methods to assess stationarity in a given time series. It is assumed that such a time series is generated by one of the autoregressive and moving average models, with optional deterministic and/or stochastic trends. The problem subjected here, will be to characterize if this stochastic process is stationary or non...bachelor thesis 2012
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Oostdam, Oskar Oostdam (author)Time series analysis is used to predict future behaviour of processes and is widely used in the finance sector. In this paper we will analyse the modelling of multivariate time series of financial data using vector autoregressive processes. The goal is that the reader will understand the presented models and could theoretically perform time...bachelor thesis 2019
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Ranjha, Sayra (author), Gmelig Meyling, Jan-Willem (author), Hoek, Leon (author)Sick Building Syndrome is present in 30% of all office buildings and can cause serious health damage over time. This is an era where sustainability and well-being are becoming dominant aspects of life. As a result, it is becoming increasingly important to businesses to invest in their employees' well-being and health. The VTTI group cares for...bachelor thesis 2019
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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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- Ruan, M. (author) doctoral thesis 1999
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Wang, W. (author)Abstract not availabledoctoral thesis 2006
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- Wensink, H.E. (author) doctoral thesis 1996
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Furuya, M. (author)Currently, 434 nuclear power plants are in operation worldwide. 21% of them are known as Boiling Water Reactors (BWRs). These BWRs have pumps that cool their reactor cores (the forced circulation BWRs). In the design of new BWRs, ways to cool the core by a natural circulation flow, without pumps, also called natural circulation BWRs, are being...doctoral thesis 2006
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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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Shang, H. (author)The observation of surface water bodies in all weather conditions and better knowledge about inundation patterns are important for water resource management and flood early warning. Microwave radiometers at 37 GHz were applied to observe and study the inundation pattern in large subtropical floodplains in China, i.e. the Poyang Lake and Dongting...doctoral thesis 2017
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Time-series analysis to estimate aquifer parameters, recharge, and changes in the groundwater regimeObergfell, 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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Broersen, P.M.T. (author)The Yule-Walker (YW) method for autoregressive (AR) estimation uses lagged-product (LP) autocorrelation estimates to compute an AR parametric spectral model. The LP estimates only have a small triangular bias in the estimated autocorrelation function and are asymptotically unbiased. However, using them in finite samples with the YW method for AR...journal article 2009
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Lichtenauer, J.F. (author), Hendriks, E.A (author), Reinders, M.J.T. (author)To recognize speech, handwriting, or sign language, many hybrid approaches have been proposed that combine Dynamic Time Warping (DTW) or Hidden Markov Models (HMMs) with discriminative classifiers. However, all methods rely directly on the likelihood models of DTW/HMM. We hypothesize that time warping and classification should be separated...journal article 2008
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Bos, M.S. (author), Fernandes, R.M.S. (author), Williams, S.D.P. (author), Bastos, L. (author)It has been generally accepted that the noise in continuous GPS observations can be well described by a power-law plus white noise model. Using maximum likelihood estimation (MLE) the numerical values of the noise model can be estimated. Current methods require calculating the data covariance matrix and inverting it, which is a significant...journal article 2007
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Veling, E.J.M. (author), Maas, C. (author)In this paper we comment on some recent numerical and analytical work to evaluate the Hantush Well Function. We correct an expression found in a Comment by Nadarajah (J. of Hydrology, vol. 338, p. 152-153 (2007)) to a paper by Prodanoff et al. (J. of Hydrology, vol. 318, p. 173-183 (2006)). We subsequently derived another analytic representation...journal article 2010
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Broersen, P.M.T. (author)Vector time series analysis takes the same model order and model type for the different signals involved. Selection criteria have been developed to select the best order to simultaneously predict the different components of the vector. The prediction of single channels might require a different order or type for the best accuracy of each...journal article 2009
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Den Dekker, A.J. (author), Poot, D.H.J. (author), Bos, R. (author), Sijbers, J. (author)Functional magnetic resonance imaging (fMRI) data that are corrupted by temporally colored noise are generally preprocessed (i.e., prewhitened or precolored) prior to functional activation detection. In this paper, we propose likelihood-based hypothesis tests that account for colored noise directly within the framework of functional activation...journal article 2009
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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