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Udilă, Andrei (author)This paper presents a comprehensive evaluation and comparison of encoding methods for categorical data in the context of machine learning. The study focuses on five popular encoding techniques: one-hot, ordinal, target, catboost, and count encoders. These methods are evaluated using linear models, decision trees, and support vector machines ...bachelor thesis 2023
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Ilieva, Mira (author)This research delves into the exploration of translation methods between affect representation schemes within the domain of text content analysis. We assess their performance on various affect analysis tasks while concurrently developing a robust evaluation framework. Furthermore, we collect annotated datasets and take into account crucial...bachelor thesis 2023
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Fink, Matthias (author), Maresch, Daniela (author), Gartner, J. (author)Social robots—such as autonomous vehicles, service robots, or healthcare robots—are designed to support tasks in a broad range of human activities. However, these robots face moral dilemmas because they must make decisions that may do good for one human but potentially inflict harm on another. We argue that Kant's categorical imperative provides...journal article 2023
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van der Esch, Anton (author), Wolfs, Rob (author), Fennis, Sonja (author), Roosen, M.A. (author), Wijte, Simon (author)Over the last century, over one hundred crack width formulas have been developed to calculate the width and spacing of cracks in reinforced and prestressed concrete elements. It is unclear which formulas are the most accurate. An extensive comparison study is required to determine which formulas accurately describe the crack patterns,...journal article 2023
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Wijermans, Nanda (author), Scholz, G. (author), Neumann, Martin (author), Paolillo, Rocco (author), Templeton, Anne (author)This is an editorial to the special section on “Social Identity Modelling”, published in Volume 26, Issues 2 and 3, 2023 of the Journal of Artificial Societies and Social Simulation. It provides information on how the Social Identity Approach (SIA) and the research using its theoretical framework explains collective behaviour, tailored...contribution to periodical 2023
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Scholz, G. (author), Wijermans, Nanda (author), Paolillo, Rocco (author), Neumann, Martin (author), Masson, Torsten (author), Chappin, E.J.L. (author), Templeton, Anne (author), Kocheril, Geo (author)Simulating collective decision-making and behaviour is at the heart of many agent-based models (ABMs). However, the representation of social context and its influence on an agent’s behaviour remains challenging. Here, the Social Identity Approach (SIA) from social psychology, offers a promising explanation, as it describes how people behave...journal article 2023
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Du Preez, M. (author), Arkesteijn, M.H. (author), den Heijer, A.C. (author), Rymarzak, M. (author)Internationally, the ambition to achieve a sustainable built environment is becoming urgent. On the university campus, this vision, combined with unparalleled access to innovative technologies for sustainable development enables/urges universities to implement more innovative solutions more often. As a prime test location, the university campus...journal article 2022
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Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...journal article 2022
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Vollebregt, Maddy (author)Waste education programmes, such as the Littler Less Campaign (LLC), are environmental and sustainability education (ESE) programmes which aim to increase the understanding of one’s impact on the environment and the impact of the environment on society. The LLC aims to increase waste literacy, which is a measure of a person’s understanding of...master thesis 2021
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Mazhar, O. (author), Babuska, R. (author), Kober, J. (author)Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are insufficient when the sensor fails to acquire information due to malfunction or its design limitations. Multi-sensor configurations are known to provide redundancy...journal article 2021
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Schulz, Yannick (author), Mattar, Avinash Kini (author), Hehn, T.M. (author), Kooij, J.F.P. (author)This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles behind blind corners can be detected by sound before such vehicles enter in line-of-sight. We have equipped a research vehicle with a roof-mounted microphone array, and show on data...journal article 2021
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Palffy, A. (author), Dong, Jiaao (author), Kooij, J.F.P. (author), Gavrila, D. (author)This letter presents a novel radar based, single-frame, multi-class detection method for moving road users ( pedestrian, cyclist, car ), which utilizes low-level radar cube data. The method provides class information both on the radar target- and object-level. Radar targets are classified individually after extending the target features with a...journal article 2020
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Hipolito, Tomas (author), Nabais, Joao Lemos (author), Botto, Miguel Ayala (author), Negenborn, R.R. (author)This paper proposes three different formulations of a centralized Model Predictive Control framework to manage the logistics of continuous-flow Supply Chains subject to fluctuating demand. The Supply Chain is modeled as a dynamical system composed of several players handling commodities from the production phase to the retail phase....journal article 2020
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Zheng, Feifei (author), Tao, Ruoling (author), Maier, Holger R. (author), See, Linda (author), Savic, Dragan (author), Zhang, Tuqiao (author), Chen, Qiuwen (author), Assumpção, Thaine H. (author), Solomatine, D.P. (author)Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change...review 2019
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Piazzai, M. (author)This dissertation addresses the question of how the information encoded by category labels is interpreted by agents in a market for the purpose of decision-making. To this end, we first examine the influence of categorization on economic and strategic outcomes with two empirical studies, and then use the insights provided by these studies to...doctoral thesis 2018
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Berghuis, Veerle (author)ASML produces TwinScan NXT machines that are used for the production of microchips. The machines ensure that an accurate pattern of DUV-light passes a lens and that it is projected as accurate as possible on the wafer. To ensure that the focal point of the converged DUV-light falls exactly onto the wafer, the leveling functionality is of great...master thesis 2017
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Ohlsson, Jens (author), Han, Shengnan (author), Bouwman, W.A.G.A. (author)Purpose: The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness, efficiency and relevance against certain...journal article 2017
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Ozcan Vieira, E. (author), Van Egmond, R. (author), Jacobs, J.J. (author)In this paper we investigated which categories of product sounds listeners can distinguish. We explored the perceptual domain of product sounds in order to be able to derive perceptually similar categories and determine how users are able to describe these categories by merely listening to them. Employing two different experimental paradigms ...journal article 2014
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Drost, F.D.E. (author)In this thesis the current inventory control at the Defence Material Organisation is analysed in light of the pending implementation of the SAP-ECC/DFPS ERP-system for demand forecasting and inventory control. The scope for this research has been set on the demand forecasting of weapon systems related spare parts under training and peace-time...master thesis 2010
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Suprapto, M. (author)This research aimed to investigate the emergence of niche applications and to explore the most likely categories of niche applications for introducing radically new high-tech products in order to provide an initial clue on how to select the initial market. This study raised a challenging main question, For introducing radically new high-tech...master thesis 2010