Searched for: subject%3A%22time%255C+series%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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Sui, Zhongyi (author), Wen, Yuanqiao (author), Huang, Yamin (author), Song, R. (author), Piera, Miquel Angel (author)
The theoretical analysis of maritime accidents is a hot topic, but the time characteristics and dynamics of maritime accidents time series are still unclear. It is difficult to draw a clear conclusion from the cause analysis, so the accident is difficult to be predicted. To bridge this gap, this research analyzes the characteristics and...
journal article 2023
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Kartal, S. (author)
Spatiotemporal time series prediction plays a crucial role in a wide range of applications. However, in most of the studies, spatial information was ignored and predictions were carried out either on a few points or on average values. In this study, 37 different configurations of 4 traditional ML models and 3 Neural Network (NN) based models...
journal article 2023
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Zhou, J. (author), Menenti, M. (author), Jia, Li (author), Gao, Bo (author), Zhao, Feng (author), Cui, Yilin (author), Xiong, Xuqian (author), Liu, Xuan (author), Li, Dengchao (author)
Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR to large-volume...
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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Bieber, M.T. (author), Verhagen, W.J.C. (author), Cosson, Fabrice (author), Santos, Bruno F. (author)
Spacecraft systems collect health-related data continuously, which can give an indication of the systems’ health status. While they rarely occur, the repercussions of such system anomalies, faults, or failures can be severe, safety-critical and costly. Therefore, the data are used to anticipate any kind of anomalous behaviour. Typically this is...
journal article 2023
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Moradi Sepahvand, M. (author), Tindemans, Simon H. (author)
The growing penetration of renewable energy sources (RESs) is inevitable to reach net zero emissions. In this regard, optimal planning and operation of power systems are becoming more critical due to the need for modeling the short-term variability of RES output power and load demand. Considering hourly time steps of one or more years to model...
conference paper 2023
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Tselentis, D. (author), Papadimitriou, E. (author)
Driving pattern recognition has been applied for the purposes of driving styles identification and harsh driving events detection. However, the evolution of driving behavior around and especially before such events has not been investigated at a microscopic level. The objective of this research is to reveal existing driving patterns around harsh...
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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Yang, Mengshi (author), Liao, Mingsheng (author), Chang, Ling (author), Hanssen, R.F. (author)
Multi-epoch interferometric synthetic aperture radar (InSAR) is a highly effective technique for monitoring deformation in urban areas. However, interpreting InSAR deformation can be challenging due to various factors, including inherent geometric imaging distortion, the intricate structure and deformation properties of targets in urban...
journal article 2023
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Yesevi, Gevher (author), Keskin, M.O. (author), Doğru, Anıl (author), Aydoğan, Reyhan (author)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the agent so that it can decide its next move wisely. Accordingly, this paper addresses predicting the opponent’s coming...
conference paper 2023
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Maffei, C. (author)
Forest fires are a major ecosystem disturbance at global scale, put pressure on agencies in charge of citizens and infrastructure security and cause unvaluable human losses. Fires are controlled by multiple static and dynamic drivers related to topography, land cover, climate, weather, and anthropic activity. Among these, weather is an active...
doctoral 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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de Koster, P.B.J. (author), Brühl, M. (author), Wahls, S. (author)
We propose a novel method to determine the average water depth from shallow, weakly nonlinear water waves that are approximated by the Korteweg-de Vries equation. Our identification method only requires free-surface measurements from two wave gauges aligned in the direction of wave propagation. The method we propose is based on comparing...
conference paper 2022
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Retike, Inga (author), Bikše, Jānis (author), Kalvāns, Andis (author), Dēliņa, Aija (author), Avotniece, Zanita (author), Zaadnoordijk, Willem (author), Jemeljanova, Marta (author), Popovs, Konrāds (author), Babre, Alise (author), Zelenkevičs, Artjoms (author), Baikovs, Artūrs (author)
Groundwater level time series are of great value for a variety of groundwater studies, particularly for those dealing with the impacts of anthropogenic and climate change. Quality control of groundwater level observations is an essential step prior to any further application, e.g., trend analysis. Often the quality control of data is limited to...
journal article 2022
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Yuan, Xiaotian (author), Jia, L. (author), Menenti, M. (author), Jiang, Min (author)
Human activities modulate the impact of environmental forcing in general and of climate in particular. Information on the spatial and temporal patterns of human activities is in high demand, but scarce in sparsely populated and data-poor regions such as Northern Africa. The intensity and spatial distribution of nighttime lights provide useful...
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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Mangipinto, Andrea (author), Lombardi, F. (author), Sanvito, Francesco Davide (author), Pavičević, Matija (author), Quoilin, Sylvain (author), Colombo, Emanuela (author)
The mass-scale integration of electric vehicles into the power system is a key pillar of the European energy transition agenda. Yet, the extent to which such integration would represent a burden for the power system of each member country is still an unanswered question. This is mainly due to a lack of accurate and context-specific...
journal article 2022
Searched for: subject%3A%22time%255C+series%22
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