Searched for: subject%3A%22data%255C%2Bmodel%22
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Saeidian, Bahram (author), Rajabifard, Abbas (author), Atazadeh, Behnam (author), Kalantari, Mohsen (author)
Currently, many cities around the world use underground space for different applications such as tunnels, utility networks, parking, walkways, and shopping malls. Due to the increasing use of underground areas, management of this space is very important for decision-makers and stakeholders. A 3D Underground Land Administration (ULA) data model...
conference paper 2022
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Li, D. (author), De Schutter, B.H.K. (author)
Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the...
journal article 2022
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Knödler, L. (author), Salmi, C. (author), Zhu, H. (author), Ferreira de Brito, B.F. (author), Alonso Mora, J. (author)
Autonomous mobile robots require accurate human motion predictions to safely and efficiently navigate among pedestrians, whose behavior may adapt to environmental changes. This paper introduces a self-supervised continual learning framework to improve data-driven pedestrian prediction models online across various scenarios continuously. In...
journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
journal article 2022
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He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)
Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...
journal article 2022
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Pan, K. (author), Palensky, P. (author), Mohajerin Esfahani, P. (author)
The main objective of this article is to develop scalable dynamic anomaly detectors with high-fidelity simulators of power systems. On the one hand, models in high-fidelity simulators are typically 'intractable' if one opts to describe them in a mathematical formulation in order to apply existing model-based approaches from the anomaly...
journal article 2022
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Derner, Erik (author), Kubalik, Jiri (author), Babuska, R. (author)
Continual model learning for nonlinear dynamic systems, such as autonomous robots, presents several challenges. First, it tends to be computationally expensive as the amount of data collected by the robot quickly grows in time. Second, the model accuracy is impaired when data from repetitive motions prevail in the training set and outweigh...
journal article 2021
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Han, Rui (author), Li, Dong (author), Ouyang, Junyan (author), Liu, Chi Harold (author), Wang, Guoren (author), Wu, Dapeng Oliver (author), Chen, Lydia Y. (author)
Deep learning (DL) models are increasingly built on federated edge participants holding local data. To enable insight extractions without the risk of information leakage, DL training is usually combined with differential privacy (DP). The core theme is to tradeoff learning accuracy by adding statistically calibrated noises, particularly to...
journal article 2021
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Katrakazas, Christos (author), Theofilatos, Athanasios (author), Islam, Md Ashraful (author), Papadimitriou, E. (author), Dimitriou, Loukas (author), Antoniou, Constantinos (author)
Traffic conflicts are heavily correlated with traffic collisions and may provide insightful information on the failure mechanism and factors that contribute more towards a collision. Although proactive traffic management systems have been supported heavily in the research community, and autonomous vehicles (AVs) are soon to become a reality,...
journal article 2021
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Bakker, B.J. (author)
Building models for an electric vehicles usage data set in order to simulate virtual populations of these electric vehicle users. With these simulated populations charging strategies for electric vehicle users could be developed in order to improve the use of electric vehicles. The modeling is done with copula functions, and are compared with...
bachelor thesis 2020
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Noardo, F. (author), Arroyo Ohori, G.A.K. (author), Biljecki, Filip (author), Ellul, Claire (author), Harrie, Lars (author), Krijnen, T.F. (author), van Liempt, J.N.H. (author), Vitalis, S. (author), Stoter, J.E. (author)
OGC CityGML is an open standard for 3D city models intended to foster interoperability and support various applications. However, through our practical experience and discussions with practitioners, we have noticed several problems related to the implementation of the standard and the use of standardized data. Nevertheless, a systematic...
journal article 2020
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Stoter, J.E. (author), te Winkel, Daniël (author), van Altena, V.P. (author)
The Dutch Kadaster is responsible for the acquisition and maintenance of topographical data and visualisations at scale 1:10k and smaller. This is currently realised through an acquisition process by topographers who acquire 1:10k data from aerial images. In a next step, the smaller scale data and visualisations are derived by a fully automated...
conference paper 2020
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Coutino, Mario (author), Karanikolas, Georgios V (author), Leus, G.J.T. (author), Giannakis, Georgios B. (author)
Link prediction is one of the core problems in network and data science with widespread applications. While predicting pairwise nodal interactions (links) in network data has been investigated extensively, predicting higher-order interactions (higher-order links) is still not fully understood. Several approaches have been advocated to predict...
conference paper 2020
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Kumar, Kavisha (author), Ledoux, H. (author), Schmidt, Richard (author), Verheij, Theo (author), Stoter, J.E. (author)
This paper presents our implementation of a harmonized data model for noise simulations in the European Union (EU). Different noise assessment methods are used by different EU member states (MS) for estimating noise at local, regional, and national scales. These methods, along with the input data extracted from the national registers and...
journal article 2020
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Natali, A. (author), Coutino, Mario (author), Leus, G.J.T. (author)
Data defined over a network have been successfully modelled by means of graph filters. However, although in many scenarios the connectivity of the network is known, e.g., smart grids, social networks, etc., the lack of well-defined interaction weights hinders the ability to model the observed networked data using graph filters. Therefore, in...
conference paper 2020
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Zulkifli, Nur Amalina (author), Abdoel Rahman, Alias (author), Siew, Chengxi Bernad (author)
In this paper, the database design and development of a prototype 3D cadastral registration will be presented. The key aspects of this prototype are the model is based on Land Administration Domain Model (LADM). The LADM provides a conceptual description for land administration system, including a 3D cadastral registration. LADM defines 3D...
conference paper 2019
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Unger, Eva-Maria (author), Bennett, Rohan (author), Lemmen, Christiaan (author), Zevenbergen, Jaap (author), Dijkstra, Paula (author), de Zeeuw, Kees (author)
The 2030 Agenda for Sustainable Development with its defined Sustainable Development Goals (SDGs), together with other policies such as the Sendai Framework for Disaster Risk Reduction, or the Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security (VGGT) stimulate...
conference paper 2019
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Lemmen, Christiaan (author), Unger, Eva-Maria (author), Lengoiboni, Monica (author), Balas, Marisa (author), Saad, Kholoud (author), Bennett, Rohan (author), van Oosterom, Peter (author), Zevenbergen, Jaap (author), Vranken, Martinus (author)
International laws and frameworks such as the 2030 Agenda for Sustainable Development with its defined Sustainable Development Goals (SDGs), together with the Voluntary guidelines on the responsible governance of tenure of land, fisheries and forests in the context of national food security (VGGTs) are key global cornerstones in the protection...
conference paper 2019
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Yan, Jingya (author), Soon, Kean Huat (author), Jaw, Siow Wei (author), Schrotter, Gerhard (author)
Over the years, in order to meet the many and growing needs of urban development, a lot of underground spaces have been used for the public infrastructures, such as utility lines, rail lines and roads. Complex underground infrastructure and inaccurate underground information complicate the development of underground space, the ownership of...
conference paper 2019
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Millross, Tom (author)
The Industrial Ecology Data Commons (IEDC) is a relational database designed as an open “platform to exchange industrial ecology datasets” (Pauliuk et al., forthcoming). It is positioned as an implementation of the ‘general data model (GDM) for socioeconomic metabolism’, which the authors state “can be used to structure all data that can be...
master thesis 2019
Searched for: subject%3A%22data%255C%2Bmodel%22
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