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van Selling, Stijn (author)The Dutch Air Traffic Control has implemented fixed approach trajectories within approach control during night operations when traffic density is low. During the day, when traffic density is higher, vector-based operations are used. The Dutch Air Traffic Control aims to implement fixed approach trajectories when traffic density is high. This...master thesis 2023
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Vonk, Martijn (author)Autonomous vehicles (AVs) can solve a lot of problems related to traffic safety, comfort and congestion. While the sensors used by these vehicles are getting cheaper, more accurate, and software is improving, the first completely automated vehicle does not exist yet. When AVs start gradually driving on the roads, there will be a mixed traffic...master thesis 2023
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Raghavan, Arjun (author)In this research, the effect of curing with different types of current, current densities/voltage intensity on mortar is studied. The main objective is to explore the outcomes of electric curing on the setting time of CEM-I mortar. For achieving the main objective, an electrical curing setup is designed to accommodate curing with direct current,...master thesis 2023
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Guan, Kuo (author)Electric vehicles (EVs) take advantage of reducing fossil-based environmental pollution and developing a more sustainable logistics network. Compared with internal combustion engine vehicles (ICEVs), EVs have new technical characteristics like limited battery capacity and long charging time at charging stations. With the diffusion of EVs,...student report 2023
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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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Du, Tianyu (author)Spiking Neural Networks(SNN) have been widely leveraged by neuromorphic systems due to their ability to closely mimic biological neural behavior, where information is exchanged and received between neurons in the form of sparse events(spikes). Such neuromorphic systems are highly energy-efficient because the use of a global clock can be avoided...master thesis 2023
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Kisjes, Hannah (author)This graduation project arose from Erasmus MC’s mission to continuously improve the patient experience. The results of the patient monitoring by Erasmus MC showed that an intervention at their ophthalmology outpatient clinic (OOC) could contribute to this objective. The patient satisfaction scores on wait time experience were very low at this...master thesis 2023
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Mao, Kangmin (author)Modeling the relationship between rainfall and runoff is a longstanding challenge in hydrology and is crucial for informed water management decisions. Recently, Deep Learning models, particularly Long short-term memory (LSTM), have shown promising results in simulating this relationship. The Transformer, a newly proposed deep learning...master thesis 2023
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Draisma, Max (author)Understanding the factors that drive extreme water levels is key to an accurate assessment of flood hazard. The city of Venice has always been affected by flooding due to extreme water levels. In this study, we examine the factors driving and influencing extreme water levels in the Venice lagoon, aiming at deriving accurate extreme water level...master thesis 2023
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de Boer, Jens (author)A significant decrease in greenhouse gas emissions can be achieved by including a prediction of future power consumption in the control of ships’ power plants during transits. Moreover, including a prediction of power consumption in the Energy Management System (EMS) during Dynamic Positioning (DP) operations can also contribute to a reduction...master thesis 2023
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Localising objects with drones: A case study on the localisation of fisher boats in restricted areasGeers, Lisa (author)Due to safety or preservation reasons, certain objects or areas need to be inspected regularly. Currently, the inspection of objects is mostly done in-person, which is labour-intensive and not very effective. With the use of drones, areas and objects can be inspected from new angles at a much faster rate. To effectively monitor these objects...master thesis 2023
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Klerk, Liselotte (author)The deficit of suitable housing in the Netherlands is increasing, while the vacancy rate of office buildings and other non-residential buildings is high. <br/>Transforming these vacant buildings is a sustainable and smart method to meet the housing demand. In order to transform buildings properly, their values need to be taken into account. In...master thesis 2023
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Rijkeboer, Mats (author)Highly accurate time sources, such as Cesium-based or GPS clocks, are the best candidates to provide a correct notion of time, but are too costly and impractical for implementation in every modern digital device. Ubiquitously, (crystal) oscillators are employed instead. To maintain a shared notion of time, the offsets and drift/jitter have to be...master thesis 2023
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Diekmann, Leon (author), Vasconcelos, Ivan (author), Wapenaar, C.P.A. (author), Slob, E.C. (author), Snieder, Roel (author)Marchenko-type integrals typically relate so-called focusing functions and Green's functions via the reflection response measured on the open surface of a volume of interest. Originating from one dimensional inverse scattering theory, the extension to two and three dimensions set in motion various new developments regarding imaging in complex...journal article 2023
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Khodabandeh, A. (author), Teunissen, P.J.G. (author), Psychas, D. (author)To obtain single-receiver Global Navigation Satellite System (GNSS) parameter solutions, the PPP-RTK user-filter combines measurements with time-correlated corrections that are separately computed by the filter of an external provider. The consequence of exercising such double-filtering is that the Kalman filter’s standard assumption of...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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Brederode, L.J.N. (author), Pel, A.J. (author), Wismans, Luc (author), Rijksen, Bernike (author), Hoogendoorn, S.P. (author)This paper presents an efficient solution method for the matrix estimation problem using a static capacity constrained traffic assignment (SCCTA) model with residual queues. The solution method allows for inclusion of route queuing delays and congestion patterns besides the traditional link flows and prior demand matrix whilst the...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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Guo, Z. (author), Qiu, Jingping (author), Jiang, Haiqiang (author), Zhu, Qiang (author), Wang Kwek, Jin (author), Ke, Lin (author), Qu, Zhengyao (author)The fresh superfine-tailings cemented paste backfill (SCPB) exhibits strong thixotropy, but quantification of the resulting transient flow (non-steady state) and time-dependent yield stress is lacking. In this study, a simple qualitative model was developed to describe the transient flow and time-dependent yield stress of SCPB. The effect of...journal article 2023
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Veerakumar, Nidarshan (author), Cremer, Jochen (author), Popov, M. (author)With recent telemetric advancements, the real-time availability of power grid measurements has opened challenging opportunities for the design of advanced protection and control schemes. Artificial neural networks (ANN) are promising approaches for detecting and classifying disturbance events from measurement data. Numerous offline ANN-based...journal article 2023