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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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Mensi, Antonella (author), Tax, D.M.J. (author), Bicego, Manuele (author)Because outliers are very different from the rest of the data, it is natural to represent outliers by their distances to other objects. Furthermore, there are many scenarios in which only pairwise distances are known, and feature-based outlier detection methods cannot directly be applied. Considering these observations, and given the success...journal article 2023
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Hernández, J.I. (author), van Cranenburgh, S. (author), Chorus, C.G. (author), Mouter, N. (author)We propose three procedures based on association rules (AR) learning and random forests (RF) to support the specification of a portfolio choice model applied in data from complex choice experiment data, specifically a Participatory Value Evaluation (PVE) choice experiment. In a PVE choice experiment, respondents choose a combination of...journal article 2023
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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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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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Labaar, Anna Lisa (author)For European Union member states, it is mandatory to assign Natura 2000 areas and regularly monitor them. Currently, vegetation mapping is done mainly manually, which is a time-consuming and expensive practise. Unmanned Aerial Vehicles (UAVs or drones), manoeuvrable vehicles with which high-resolution measurements can be done, could increase...master thesis 2022
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Groot Beumer, Morris (author)Recent advancements in causal inference and machine learning research have brought forward methods to estimate effects of interventions from observational data. The augmented inverse probability weighted (AIPW) estimator is such a method, which can be used to obtain estimates of potential outcomes. Potential outcomes are defined as a...master thesis 2022
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Vierling, Koen (author)About 75 percent of CO2 emissions caused by the combustion of fossil fuels stem from cities. Climate policy minimising the amount of emitted carbon can not be evaluated without accurate quantification of CO2 emissions.<br/>Not only the amount of emitted carbon is of interest, but also being able to place emissions in both the spatial as well as...master thesis 2022
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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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Gambetta, Luis (author)In the airline industry revenue and inventory is managed tightly, with the intent to sell each seat at the right price to the right customer at the right time. This does not always go to plan and seats remain unsold, or demand can be greater than what is available. The question then becomes how can capacity and revenue be managed more...master thesis 2022
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Gangapersad, Ravish (author)In this paper, we want to create a prediction model for target attainment and a scoring system based on these models. The Random Forest model, Logistic Regression model, and Naive Bayes model are employed to achieve this. Classification trees and predictors from the random forest model are used to create the scoring system. The theory behind...master thesis 2022
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Wu, Ziyan (author)Building height information has been more used in a variety of industries in recent years. This information can be used in sustainable urban planning, urban climate research, population estimation, and three-dimensional (3D) building reconstruction, etc. Nowadays, building height information is obtained mostly by photogrammetry, high-resolution...master thesis 2022
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Vreedenburgh, Laszlo (author)Electricity is essential in the modern world. Although India is near reaching 100% electrification, for many of its citizens, reliable access to electricity is still a major issue. It is not clear how, when, and where the reliability issues arise. Previous studies have not shed light on electricity outages at a granular level. Furthermore,...master thesis 2022
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- Francken, Arjan (author) master thesis 2022
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Olthof, Lotte (author)One of the current challenges withholding personalised lane-level driving advice is the inaccuracy and error of GPS signal from commonly used navigation devices and mobile phones. These GPS signals have an uncertainty margin up to several meters, therefore potentially indicating the vehicle location on a different lane than the actual lane it...master thesis 2022
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Ordeman, Sam (author)Digital Soil Mapping (DSM) of soil types in geotechnical project areas is a top priority. These maps are often used in decision making and can have significant consequences related to costs and risks. Usually, these maps are generated by digital soil models that interpolate soil types at known locations. In practice, conventional spatial...master thesis 2022
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RUIZ ALBA, MAITE (author)<b>Background and purpose</b>: One of the main challenges in external beam radiotherapy treatment of locally advanced cervical cancer patients is dealing with bladder and rectum filling. Organ filling causes interfraction motion of the uterus, requiring large treatment planning volumes, or a plan library. Current assessment of tumor position is...master thesis 2022
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Roy, Ellie (author)Data on the number of floors is required for a variety of applications, ranging from energy demand estimation to flood response plans. Despite this, open data on the number of floors is currently not available at a nationwide level in the Netherlands. This means that it must be inferred from other available data. Automatic methods usually...master thesis 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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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