Searched for: subject%3A%22temporal%255C+data%22
(1 - 10 of 10)
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Nasri, Maedeh (author), Fang, Zhizhou (author), Baratchi, Mitra (author), Englebienne, Gwenn (author), Wang, Shenghui (author), Koutamanis, A. (author), Rieffe, Carolien (author)
Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-temporal trajectories and proposes “WavenetNRI”, a graph neural network (GNN) based method. The...
conference paper 2023
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Huan, Y. (author), Tian, Yubin (author), Wang, Dianpeng (author)
Simulations are often used to investigate the flow structures and system dynamics of complex natural phenomena and systems, which are significantly harder to obtain from experiments or theoretical analyses. Surrogate models are employed to mimic the results of simulations by reducing computational costs. In order to reduce the amount of...
journal article 2022
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de Gelder, Luuk (author)
Conversion from digital information to spike trains is needed for Spiking Neural Networks. Moreover, it is one of the most important steps for Spiking Neural Networks. This conversion could lead to much information loss depending on which encoding algorithm is used. Another major problem that can occur in a specific use-case is the limited...
master thesis 2021
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Cheng, D. (author), Liu, Z. (author)
This paper presents our winning entry for the EVA 2019 data competition, the aim of which is to predict Red Sea surface temperature extremes over space and time. To achieve this, we used a stochastic partial differential equation (Poisson equation) based method, improved through a regularization to penalize large magnitudes of solutions. This...
journal article 2020
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Mandersloot, Jeroen (author)
Rare category detection is the task of discovering rare classes in unlabelled and imbalanced datasets. Existing algorithms focus almost exclusively on static data in which instances are assumed to be independent. In this thesis we propose an algorithm that is designed for temporal data. Specifically, we are interested in data with temporal...
master thesis 2018
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Psomadaki, S. (author)
The rapid developments in the field of point cloud acquisition technologies have allowed point clouds to become an important source of information for many applications. One of the newest applications of point clouds concerns the monitoring of the coast. Many countries, among which the Netherlands, use this source of data in order to determine...
master thesis 2016
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Psomadaki, S (author), van Oosterom, P.J.M. (author), Tijssen, T.P.M. (author), Baart, F. (author)
Point cloud usage has increased over the years. The development of low-cost sensors makes it now possible to acquire frequent point cloud measurements on a short time period (day, hour, second). Based on the requirements coming from the coastal monitoring domain, we have developed, implemented and benchmarked a spatio-temporal point cloud data...
journal article 2016
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van Oosterom, Peter (author), Stoter, Jantien (author), Ploeger, Hendrik (author), Lemmen, Christiaan (author), Thompson, Rod (author), Karki, Sudarshan (author)
In this paper we present the initial analysis of the second FIG 3D Cadastres questionnaire, spanning the years 2014-2018. The first version of the 3D Cadastres questionnaire was conducted in 2010 and collected the status of 2010 and the expectations or ambitions for 2014. Most of the FIG 3D Cadastres working group members had completed the 2010...
conference paper 2014
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Van der Spek, S.C. (author), Van Langelaar, C.M. (author)
The aim of this paper is to express the application of tracking technologies in Urban Design and Planning. Tracking technologies can be used to monitor different user groups in different occasions. Since 2005, TU Delft has explored and developed two types of research using GPS to collect spatio-temporal data in urban environments: (1) visitors...
conference paper 2011
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Van der Spek, S.C. (author), Van Langelaar, C.M. (author)
The aim of this paper is to express the application of tracking technologies in Urban Design and Planning. Tracking technologies can be used to monitor different user groups in different occasions. Since 2005, TU Delft has explored and developed two types of research using GPS to collect spatio temporal data in urban environments : (1) visitors...
conference paper 2011
Searched for: subject%3A%22temporal%255C+data%22
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