Searched for: subject%3A%22multivariable%22
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Nelemans, Peter (author)
Fully distributed hydrological models take into account the spatial variability of a catchment, and allow for assessing its hydrological response at virtually any location. However, these models can be time-consuming when it comes to model runtime and calibration, especially for large-scale catchments. Meanwhile, deep learning models have shown...
master thesis 2024
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Rinauro, B. (author), Begovic, E. (author), Mauro, F. (author), Rosano, G. (author)
The seaway trade market has expanded in the last years and container ship dimensions are constantly increasing for higher cargo capacity. In the early design stage, main dimensions are usually determined based on an existing ship database from which regression formulas are derived. In the present paper, a database of 260 non-sister container...
journal article 2024
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Ghorbani, R. (author), Reinders, M.J.T. (author), Tax, D.M.J. (author)
Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may be interesting. However, robust and reliable anomaly detection within these data remains a challenge...
journal article 2024
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Gu, Lipeng (author), Yan, Xuefeng (author), Nan, L. (author), Zhu, Dingkun (author), Chen, Honghua (author), Wang, Weiming (author), Wei, Mingqiang (author)
The conventional wisdom in point cloud analysis predominantly explores 3D geometries. It is often achieved through the introduction of intricate learnable geometric extractors in the encoder or by deepening networks with repeated blocks. However, these methods contain a significant number of learnable parameters, resulting in substantial...
journal article 2024
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Algra, Siemen (author), Huijbregts, Joep (author), Prins, Selma (author), Terlinden-Ruhl Ecuyer, Lucas (author)
Van Sickle Island, located in the Suisun Marsh in the San Francisco Bay Area, has experienced multiple levee breaches in the past. Due to the large social and economic implications of flooding, questions have arisen about whether the current management of the island is still feasible. This project, therefore, aimed to find the most financially...
student report 2023
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Arush, I. (author)
Flight test engineering is an interdisciplinary science that gathers flight-test data and develops methods with the objective of evaluating an aircraft or an airborne system in its operational flight environment. The need for flight testing emanates as a necessary effort that complements ground-based verification activities such as wind-tunnel...
doctoral thesis 2023
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Dommerholt, Naomi (author)
This study investigates the connection between macro-scale parameters (MSP) and micro-scale water quality parameters (MSWQP) in the Brantas River, employing a multivariate linear regression (MLR) modelling approach. The analysis reveals several critical insights into the complex dynamics of water quality in this river system.<br/><br/>Key...
master thesis 2023
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Six, Kobi (author)
The aviation industry's reliance on automation raises concerns about pilot complacency, necessitating continuous pilot proficiency measures. To that end, real-time pilot skill feedback is vital—through alerts on declining skill levels or scalable levels of autonomy. Current cybernetic methods are limited as they assume linearity and time...
master thesis 2023
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Veldman, Chris (author)
The uncertainty paired with the effects of climate change impacts the design aspects of hydraulic structures. To comprehend the uncertainty of the evolving conditions, methods and models that differ from the traditional ones could provide a better understanding of the uncertainty and potential risks associated with a design.<br/>Hydraulic...
master thesis 2023
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Baez Lozada, Luis Carlos (author)
This research evaluates the applicability of Multivariate Imputation by Chained Equations (MICE) for estimating missing well-log data across different sedimentary basis. Utilizing various machine learning techniques including XGBoost (XGB), Random Forest (RF), K-Nearest Neighbors (KNR), and Bayesian Ridge (BR), the performance of MICE was tested...
master thesis 2023
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de Beer, Arne (author)
This paper presents a study focused on developing an efficient signal processing pipeline and identifying suitable machine learning models for real-time gesture recognition using a testbed consisting of an Arduino Nano 33 BLE and three OPT101 photodiodes. Our research aims to address the challenges of limited computational power whilst...
bachelor 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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Brands, Marnix (author)
The computation of multivariate expectations is a common task in various fields related to probability theory. This thesis aims to develop a generic and efficient solver for multivariate expectation problems, with a focus on its application in the field of quantitative finance, specifically for the quantification of Counterparty Credit Risk (CCR...
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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Fotouhi, Sakineh (author), Assaad, Maher (author), Nasor, Mohamed (author), Imran, Ahmed (author), Ashames, Akram (author), Fotouhi, M. (author)
The aim of this study was to find the correlation between failure modes and acoustic emission (AE) events in a comprehensive range of thin-ply pseudo-ductile hybrid composite laminates when loaded under uniaxial tension. The investigated hybrid laminates were Unidirectional (UD), Quasi-Isotropic (QI) and open-hole QI configurations composed of S...
journal article 2023
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Bizzarri, D. (author), Reinders, M.J.T. (author), Beekman, Marian (author), Slagboom, P. Eline (author), van den Akker, E.B. (author)
1H-NMR metabolomics data is increasingly used to track health and disease. Nightingale Health, a major supplier of 1H-NMR metabolomics, has recently updated the quantification strategy to further align with clinical standards. Such updates, however, might influence backward replicability, particularly affecting studies with repeated measures....
journal article 2023
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Yang, F. (author), Fu, Dafang (author), Zevenbergen, C. (author), Boogaard, Floris C. (author), Singh, Rajendra Prasad (author)
Saturated hydraulic conductivity (K<sub>s</sub>) of the filler layer in grassed swales are varying in the changing environment. In most of the hydrological models, K<sub>s</sub> is assumed as constant or decrease with a clogging factor. However, the K<sub>s</sub> measured on site cannot be the input of the hydrological model directly....
journal article 2023
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Rongen, G.W.F. (author), Throssell, Ben (author)
Accurately modelling rainfall events is crucial for flood risk assessment and stormwater infrastructure design. However, transforming statistical characteristics of events into relevant rainfall patterns is challenging due to the natural variability of rainfall. Two commonly used methods to schematize rainfall events have limitations: the nested...
conference paper 2023
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Gholinejad, Saeid (author), Amiri Simkooei, A. (author)
The weighted total least squares (WTLS) has been widely used in many geodetic problems to solve the error-in-variable (EIV) models in which both the observation vector and the design matrix contain random errors. This method is widely applied in its univariate form, where the observations and unknown coefficients appear in vector forms....
journal article 2023
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Tacx, Paul (author), Oomen, T.A.E. (author)
The selection of uncertainty structures is an important aspect of system identification for robust control. The aim of this paper is to provide insight into uncertain multivariable systems for robust control. A unified method for visualizing model sets is developed by generating Bode plots of multivariable uncertain systems, both in magnitude...
journal article 2023
Searched for: subject%3A%22multivariable%22
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