Searched for: subject%3A%22network%22
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Ramousse, Benjamin (author)
As the Western European building stock ages, attention is increasingly allocated to the maintenance of building components, particularly mechanical, electrical and plumbing (MEP) systems. Although the latter are essential in ensuring the correct operation of a building and the safety of its occupants, they remain the crafts where the most...
master thesis 2023
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Mares Nasarre, P. (author), García-Maribona, Julio (author), Mendoza Lugo, M.A. (author), Morales Napoles, O. (author)
An accurate estimation of wind and wave variables is key for coastal and offshore applications. Recently, copulas have gained popularity for modelling wind and waves multivariate dependence, since accounting for the hydrodynamic relationships between them is needed to ensure reliable estimations of the required design values. In this study,...
conference paper 2023
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Veerhoek, Laura (author)
In the process of drilling wells to produce hydrocarbons, an exploration strategy is used to determine which wells should be drilled and in which order. This strategy is vital, as a suboptimal drilling sequence will lead to more expenses and fewer gains.<br/>Furthermore, the wells considered in most exploration strategies are geologically<br/...
master thesis 2022
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Arango, E.A. (author), Santamaria, Monica (author), Nogal Macho, M. (author), Sousa, Helder S. (author), Matos, Jose C. (author)
Assessing flood risks on road infrastructures is critical for the definition of mitigation strategies and adaptation processes. Some efforts have been made to conduct a regional flood risk assessment to support the decision-making process of exposed areas. However, these approaches focus on the physical damage of civil infrastructures without...
conference paper 2022
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Medina, Edgardo (author), Fonseca, Carlos Roberto (author), Gallego-Alarcón, Iván (author), Morales Napoles, O. (author), Gómez-Albores, Miguel Angel (author), Esparza-Soto, Mario (author), Mastachi-Loza, Carlos Alberto (author), García-Pulido, Daury (author)
Technical, economic, regulatory, environmental, and social and political interests make the process of selecting an appropriate wastewater treatment technology complex. Although this problem has already been addressed from the dimensioning approach, our proposal in this research, a model of decision making for conventional secondary treatment of...
journal article 2022
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Torres Alves, G.A. (author), Morales Napoles, O. (author), Jonkman, Sebastiaan N. (author)
A submerged floating tunnel (SFT) is a novel structure that allows crossing waterways where immersed tunnels or bridges are not viable. However, no SFT has been built yet mainly, due to lack of experience. In consequence, there are several uncertainties regarding its design and construction. An effect that should be further investigated is the...
conference paper 2021
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Iuliis, Melissa De (author), Kammouh, O. (author), Cimellaro, Gian Paolo (author), Tesfamariam, Solomon (author)
Natural and human-made disasters can disrupt infrastructures even if they are designed to be hazard resistant. While the occurrence of hazards can only be predicted to some extent, their impact can be managed by increasing the emergency response and reducing the vulnerability of infrastructure. In the context of risk management, the ability of...
journal article 2021
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de Ronde, Anouk (author), Kokshoorn, Bas (author), de Puit, M. (author), de Poot, Christianne J. (author)
Bayesian networks have shown to be a useful tool for the evaluation of forensic findings given activity level propositions. In this paper, we demonstrate how case specific experiments can be used to assign probabilities to the states of the nodes of a Bayesian network for the evaluation of fingermarks given activity level propositions. The...
journal article 2021
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Paprotny, Dominik (author), Kreibich, Heidi (author), Morales Napoles, O. (author), Wagenaar, Dennis (author), Castellarin, Attilio (author), Carisi, Francesca (author), Bertin, Xavier (author), Merz, Bruno (author), Schröter, Kai (author)
Residential assets, comprising buildings and household contents, are a major source of direct flood losses. Existing damage models are mostly deterministic and limited to particular countries or flood types. Here, we compile building-level losses from Germany, Italy and the Netherlands covering a wide range of fluvial and pluvial flood events...
journal article 2020
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Emmanouil, Stergios (author), Aguilar, Sandra Gaytan (author), Nane, G.F. (author), Schouten, Jan Joost (author)
Installation and maintenance strategies regarding offshore wind farm operations involve extensive logistics. The main focus is the right temporal and spatial placement of personnel and equipment, while taking into account forecasted meteorological and ocean conditions. For these operations to be successful, weather windows characterized by...
journal article 2020
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Castillo, E. (author), Grande, Z. (author), Calviño, A. (author), Nogal Macho, M. (author), O’Connor, A.J. (author)
A new probabilistic safety assessment method applicable to conventional and high speed railway lines is presented. The main idea consists of reproducing the railway line items which are relevant to safety by means of a Bayesian network as an alternative to more limited event and fault tree structures. The model evaluates the probability of...
journal article 2018
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Hanea, A.M. (author), Nane, G.F. (author), Wielicki, B.A. (author), Cooke, R.M. (author)
Probabilistic thinking can often be unintuitive. This is the case even for simple problems, let alone the more complex ones arising in climate modelling, where disparate information sources need to be combined. The physical models, the natural variability of systems, the measurement errors and their dependence upon the observational period...
journal article 2018
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Chandiramani, Jayesh (author)
One of the most crucial links to building an autonomous system is the task of decision making. The ability of a vehicle to make robust decisions on its own by predicting and assessing future consequences is what makes it intelligent. This task of decision making becomes even more complex due to the fact that the real world is uncertain,...
master thesis 2017
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Stuurman, Pim (author)
This thesis is about modelling citation performance using Bayesian networks (BN). As an approximation for citation performance, we will use the proportion of papers by an author that resulted in being one of the top 10% most cited papers. Using 15 predicting variables such as year of first publication and average number of authors per paper, we...
master thesis 2017
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Christianen, Mark (author)
This report examines the possibility of modeling the performance of professional cyclists of Team Sunweb using Bayesian Networks. This research has an objective to see how these structures work and how they fit in the complex world of cycling. We want to compare different cyclists of Team Sunweb in the Grand Tours (Giro d'Italia, Tour de France...
bachelor thesis 2017
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Sebastian, Antonia (author), Dupuits, E.J.C. (author), Morales Napoles, O. (author)
In recent years significant emphasis has been placed on quantifying coastal flood hazards in the U.S. using high resolution 2-D hydrodynamic and nearshore wave models. However, these studies are computationally expensive and often neglect to consider the flooding that arises from the combined hazards of precipitation and storm surge in coastal...
journal article 2017
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Verbert, K.A.J. (author), Babuska, R. (author), De Schutter, B.H.K. (author)
Interdependencies among system components and the existence of multiple operating modes present a challenge for fault diagnosis of Heating, Ventilation, and Air Conditioning (HVAC) systems. Reliable and timely diagnosis can only be ensured when it is performed in all operating modes, and at the system level, rather than at the level of the...
journal article 2017
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Blauw, S.C. (author)
The objective of this thesis is to design an algorithm for learning the structure of non-parametric Bayesian networks (BNs) from data and has been written as part of acquiring the bachelor's degree at the Delft Institute of Applied Mathematics of the TU Delft. Inspiration for improving an existing algorithm while designing a new procedure was...
bachelor thesis 2014
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Bouarfa, L. (author), Jonker, P.P. (author), Dankelman, J. (author)
Recognizing and understanding surgical high-level tasks from sensor readings is important for surgical workflow analysis. Surgical high-level task recognition is also a challenging task in ubiquitous computing because of the inherent uncertainty of sensor data and the complexity of the operating room environment. In this paper, we present a...
journal article 2010
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