Searched for: subject%3A%22data%255C%2Bfusion%22
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Stunnenberg, Kenneth (author)
Brain disorders in children pose significant challenges to their development, impacting cognition, speech, movement, and behavior. The uncertainty surrounding prognostic information at the time of diagnosis leaves families with numerous questions about the future. The Child Brain Lab at Erasmus MC Sophia Children's Hospital conducts IQ,...
master thesis 2023
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Zeng, Sijun (author)
Site characterization is indispensable in the design phase of geotechnical engineering projects. As a key factor in site characterization, the characterization of soil undrained shear strength (S<sub>u</sub>) is always in the spotlight. Various methods, including laboratory and in-situ tests, have been developed to measure S<sub>u</sub>....
master thesis 2023
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Mészáros, L. (author)
This thesis presents a doctoral research where statistical concepts and techniques are applied to problems at the interface of marine and atmospheric processes. The research was conducted at the Statistics group of the Delft Institute of Applied Mathematics (TU Delft) and the Marine and Coastal unit of Deltares. The main objective of the work is...
doctoral thesis 2023
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Delgado Blasco, José Manuel (author)
doctoral thesis 2023
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Wen, J. (author), Abeel, T.E.P.M.F. (author), de Weerdt, M.M. (author)
Global soft fruit supply chains rely on trustworthy descriptions of product quality. However, crucial criteria such as sweetness and firmness cannot be accurately established without destroying the fruit. Since traditional alternatives are subjective assessments by human experts, it is desirable to obtain quality estimations in a consistent and...
journal article 2023
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Cheng, L. (author), Nokhbatolfoghahai, A. (author), Groves, R.M. (author), Veljkovic, M. (author)
The performance of the Acoustic Emission (AE) technique is significantly dependent on the sensors attached to the structural surface. Although conventional commercially AE sensors, like R15a and WSa sensors, have been extensively employed in monitoring many different structures, they are unavailable in restricted-assess areas. In contrast,...
conference paper 2023
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Geertsma, R.D. (author)
Editorial Special Issue: Naval Engineering and Ship Control II
contribution to periodical 2023
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Mohammed, R.A. (author), Nadi Najafabadi, A. (author), Tavasszy, Lorant (author), de Bok, M.A. (author)
Understanding the logistic determinants of freight trips is an important goal in freight transport modeling. Freight shipments move between nodes in the supply chain for different logistic purposes, including production, storage, transshipment, and consumption. A key problem with data availability is that databases generally do not identify...
journal article 2023
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Yi, Yangtian (author), Lu, Chao (author), Wang, Boyang (author), Cheng, Long (author), Li, Z. (author), Gong, Jianwei (author)
Accurate recognition of driver behaviours is the basis for a reliable driver assistance system. This paper proposes a novel fusion framework for driver behaviour recognition that utilises the traffic scene and driver gaze information. The proposed framework is based on the graph neural network (GNN) and contains three modules, namely, the...
journal article 2023
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Domhof, J.F.M. (author)
The aim of the thesis is to develop methods and algorithms for the development of a robust perception system that is capable of dealing with adverse weather conditions. Robust environmental perception is important in order to guarantee safety for the automated vehicle and the road users in the neighborhood. To create a robust perception system,...
doctoral thesis 2022
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Stolk, Toon Stolk (author)
There is no denying that the ever-increasing demand in space endeavours calls for more sustainable exploitation of the space environment. Approaches to mitigate space debris, such as ADR, are frequently suggested. Most of these proposals suggest a single sensor approach to provide accurate and continuous shape and pose estimation of the target....
master thesis 2022
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Yang, Xinyue (author)
To obtain and fully use long series of high-precision observations of water balance components, it is necessary to quantify and reduce random and systematic data errors. This thesis applies and evaluates a previously developed data fusion methodology for bias-correcting and noise-filtering remote sensing observations of water balance variables...
master thesis 2022
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Kathmann, Harm (author)
Monitoring of the status of vegetation is required for nature conservation. However, doing this for large areas is a time intensive task. Now the use of aerial data from airplanes has made this task easier. However this data source is dependent on the weather conditions and permission to fly in the busy airspace above the Netherlands. An...
master thesis 2022
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Sfikas, Konstantinos (author)
On May 22, 2018, the Gravity Recovery and Climate Experiment Follow On (GRACE-FO) mission was launched with the goal to map the spatiotemporal variations in the Earth's gravity field and to extend the 15-year monthly mass change observations of its predecessor, the GRACE mission. Similarly to GRACE, the measurement principle of GRACE-FO is based...
master thesis 2022
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Jiang, Ruiyun (author)
The water balance model has been an indispensable tool for quantifying water supply and demand and regulating water resources for decades. By convention, hydrologists use in-situ measurements of river discharge for model calibration. Whereas hardly is it possible for areas suffering from data storage. Researchers have been working on methods...
master thesis 2022
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Duanmu, Zhengliang (author)
This research is carried out to determine the effect of truck platooning on traffic flow using empirical data. This research contains two parts, data fusion, and statistical analysis. For data fusion, loop detector data, infrastructure information and weather data will be added to the original data set. For statistical analysis, the time gap...
student report 2022
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Wang, H. (author), Hendriks, J.M. (author), Dollevoet, R.P.B.J. (author), Zoeteman, Arjen (author), Nunez, Alfredo (author)
Aiming to handle the increasing variety and volume of railway infrastructure monitoring data, this paper explores the use of intelligent data fusion methods for automatic anomaly detection of railway catenaries. Three classical data dimensionality reduction methods, namely the principal component analysis (PCA), the autoencoder neural network,...
conference paper 2022
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Kathmann, H.S. (author), van Natijne, A.L. (author), Lindenbergh, R.C. (author)
Monitoring the status of the vegetation is required for nature conservation. This monitoring task is time consuming as kilometers of area have to be investigated and classified. To make this task more manageable, remote sensing is used. The acquisition of airplane remote sensing data is dependent on weather conditions and permission to fly in...
journal article 2022
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Broer, Agnes A.R. (author), Benedictus, R. (author), Zarouchas, D. (author)
With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved. Yet its application is still not often seen in operational conditions in the aircraft industry, mostly due to a gap between research focus...
journal article 2022
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Gong, Huaiyang (author)
This project develops and tests algorithms for joint signal processing of data from two radars located on the rooftop of EWI (PARSAX and MESEWI). The particular tasks consist of automatic alignment of radar data in space (2D map) and time by observing moving targets of opportunity in the high-resolution mode. After the data alignment procedure,...
master thesis 2021
Searched for: subject%3A%22data%255C%2Bfusion%22
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