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Molhoek, Jord (author)Decision trees are most often made using the heuristic that a series of locally optimal decisions yields a good final decision tree. Optimal decision trees omit this heuristic and exhaustively search - with many optimization techniques - for the best possible tree. In addition, training an ensemble of decision trees with some randomness has...bachelor thesis 2021
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Dai, Yinghao (author)Precipitation has high spatial and temporal uncertainty, which makes it challenging to predict. We focus specifically on extreme amounts of precipitation. The Royal Dutch Meteorological Institute (KNMI) uses a numerical model, approximating the solutions to partial differential equations, to forecast precipitation and other metrics about the...bachelor thesis 2018
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Manoli, Calin (author)Machine Learning (ML) is a rapidly growing field, therefore ensuring that students deeply understand such concepts is of key importance in order to certify that they are prepared for the challenges and opportunities of the future workforce. Despite this, literature on teaching ML and assessing students' understanding with regard to this field is...bachelor thesis 2023
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de Boer, Adam (author)The following report will enlighten to which extent LiDAR data could enhance land cover classification. It focuses on the area Lemps (26510) in Southwest France where a land cover classification was made using Sentinel-2 spectral images during the fieldwork. Using the additional LiDAR data, the focus shifts to distinguish coniferous and...bachelor thesis 2023
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Sun, Junzi (author), Dijkstra, T.L.E. (author), Aristodemou, K. (author), Buzeţelu, V.S. (author), Falat, T. (author), Hogenelst, T.G. (author), Prins, N. (author), Slijper, B.C. (author)In this paper, we propose open machine learning models that can provide airport delay predictions in a network with an error of around or less than five minutes. Due to the complexity of different components of air traffic networks, traditional flight performance model-based predictions fall short when dealing with numerous flights and often are...conference paper 2022
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Biljecki, F. (author), Sindram, M. (author)Building datasets (e.g. footprints in OpenStreetMap and 3D city models) are becoming increasingly available worldwide. However, the thematic (attribute) aspect is not always given attention, as many of such datasets are lacking in completeness of attributes. A prominent attribute of buildings is the year of construction, which is useful for some...conference paper 2017
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van Gent, P. (author), Melman, T. (author), Farah, H. (author), Nes, Nicole Van (author), van Arem, B. (author)The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-class basis, rather than a binary high/low distinction as often found in litearature. The presented approach relies on measures that can be obtained unobtrusively in the driving...conference paper 2018
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Velthoen, J.J. (author)In this thesis we develop several statistical methods to estimate high conditional quantiles to use for statistical post-processing of weather forecasts. We propose methodologies that combine theory from extreme value statistics and machine learning algorithms in order to estimate high conditional quantiles in large covariate spaces. In...doctoral thesis 2022
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Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...journal article 2022
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Patel, R.G. (author), Marvuglia, Antonino (author), Baustert, Paul (author), Huang, Yilin (author), Shivakumar, Abhishek (author), Nikolic, I. (author), Verma, T. (author)Cities consume almost 80 percent of world’s energy and account for 60 percent of all the emissions of carbon dioxide and significant amounts of other greenhouse gases (GHG). The ongoing rapid urbanization will further increase GHG emissions of cities. The quantification of the environmental impact generated in cities is an important step to curb...journal article 2022
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Foroughnia, Fatemeh (author), Alfieri, S.M. (author), Menenti, M. (author), Lindenbergh, R.C. (author)Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common. We addressed these challenges by developing and applying a new stepwise sequence of unsupervised and...journal article 2022
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Thanh, Hung Vo (author), Ebrahimnia Taremsari, Sajad (author), Ranjbar, Benyamin (author), Mashhadimoslem, Hossein (author), Rahimi, E. (author), Rahimi, Mohammad (author), Elkamel, Ali (author)Porous carbons as solid adsorbent materials possess effective porosity characteristics that are the most important factors for gas storage. The chemical activating routes facilitate hydrogen storage by adsorbing on the high surface area and microporous features of porous carbon-based adsorbents. The present research proposed to predict H<sub...journal article 2023
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de Roda Husman, S. (author), Van der Sanden, Joost (author), Lhermitte, S.L.M. (author), Eleveld, M.A. (author)River ice is a major contributor to flood risk in cold regions due to the physical impediment of flow caused by ice jamming. Although a variety of classifiers have been developed to distinguish ice types using HH or VV intensity of SAR data, mostly based on data from RADARSAT-1 and -2, these classifiers still experience problems with breakup...journal article 2021
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Dos Santos, Rogério R. (author), Castro, Saullo G.P. (author)The present study investigates how to apply continuous tow shearing (CTS) in a manufacturable design parameterization to obtain reduced imperfection sensitivity in lightweight, cylindrical shell designs. The asymptotic nonlinear method developed by Koiter is applied to predict the postbuckled stiffness, whose index is constrained to be...journal article 2022
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Jamalinia, E. (author), Sadeghi Tehrani, F. (author), Steele-Dunne, S.C. (author), Vardon, P.J. (author)Climatic conditions and vegetation cover influence water flux in a dike, and potentially the dike stability. A comprehensive numerical simulation is computationally too expensive to be used for the near real-time analysis of a dike network. Therefore, this study investigates a random forest (RF) regressor to build a data-driven surrogate for a...journal article 2021
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Joodavi, Ata (author), Aghlmand, Reza (author), Podgorski, Joel (author), Dehbandi, Reza (author), Abbasi, A. (author)Study region: Northeastern Iran. Study focus: In northeastern Iran, water needed for municipal and agricultural activities mainly comes from groundwater resources. However, it is subject to substantial anthropogenic and geogenic contamination. We characterize the sources of groundwater contamination by employing an integrated approach that...journal article 2021
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Aliyu, Ibrahim (author), Feliciano, Marco Carlo (author), van Engelenburg, S.H. (author), Kim, Dong Ok (author), Lim, Chang Gyoon (author)In-vehicle communication systems are usually managed by controller area networks (CAN). By broadcasting packets to their bus, the CAN facilitates the interaction between Electronic Control Units (ECU) that coordinate, monitor and control internal vehicle components. With no authentication mechanism for identifying the legitimacy and source of...journal article 2021
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Riss, Gerald (author), Memon, Fayyaz Ali (author), Romano, Michele (author), Kapelan, Z. (author)Near-real-time event detection is crucial for water utilities to be able to detect failure events in their water treatment works (WTW) quickly and efficiently. This paper presents a new method for an automated, near-real-time recognition of failure events at WTWs by the application of combined statistical process control and machine-learning...journal article 2021
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Sun, Yubo (author), Cheng, H. (author), Zhang, Shizhe (author), Mohan, Manu K. (author), Ye, G. (author), De Schutter, Geert (author)Alkali-activated concrete (AAC) is regarded as a promising alternative construction material to reduce the CO<sub>2</sub> emission induced by Portland cement (PC) concrete. Due to the diversity in raw materials and complexity of reaction mechanisms, a commonly applied design code is still absent to date. This study attempts to directly...journal article 2023
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Tepeli, Y.I. (author), Seale, C.F. (author), P. Gonçalves, Joana (author)Motivation<br/><br/>Anti-cancer therapies based on synthetic lethality (SL) exploit tumour vulnerabilities for treatment with reduced side effects, by targeting a gene that is jointly essential with another whose function is lost. Computational prediction is key to expedite SL screening, yet existing methods are vulnerable to prevalent selection...journal article 2023