Searched for: subject%3A%22clustering%22
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Var, Sezer (author)
Semiconductor product development becomes increasingly challenging due to diminishing product life cycles, miniaturization, introduction of new physical principles, and new manufacturing processes. These problems are compounded in the absence of standardized development processes for the most complex semiconductor products like MEMS technologies...
master thesis 2024
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Ozgur, Enes Arda (author)
Learning curves illustrate the relationship between the performance of learning algorithms and the increasing volume of training data [1, 2, 3]. While the concept of learning curves is well-established, clustering these curves based on fitting parameters remains an underexplored area. Our study delves into this domain and leverages the Learning...
bachelor thesis 2024
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Meeusen, Brent (author)
Scratch is a popular, visual programming language aimed at children, and is used by teachers and after school code clubs to teach their students about programming. Measuring whether they understand the underlying concepts, however, is a difficult task. In this research, we tried clustering Scratch projects by complexity to help students improve...
bachelor thesis 2024
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Ramsundersingh, Pravesha (author)
A learning curve can serve as an indicator of the “performance of trained models versus the training set size” [1]. Recent research on learning curve analysis has been carried out within the Learning Curve Database (LCDB) [2] This paper will investigate if there are similarities amongst these curves by clustering those provided by the LCDB. The...
bachelor thesis 2024
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Guendel, R.G. (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
In this study, the problem of multipath in radar sensor networks for human activity recognition (HAR) has been examined. Traditionally considered as a source of additional clutter, the multipath is being investigated for its potential to be exploited through the creation of virtual radar nodes. These virtual nodes are conceptualized to...
journal article 2024
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Lebègue, J. (author), Guitart, Andréas (author), Demouge, Céline (author), Delahaye, Daniel (author), Hoekstra, J.M. (author), Feron, Eric (author)
Weather obstacles in the airspace can interfere with an aircraft’s flight plan. Pilots, assisted by air traffic controllers (ATCs), perform avoidance maneuvers that can be optimized. This paper addresses the generation of alternative aircraft trajectories to resolve unexpected events. The authors propose a solution based on the RRG algorithm,...
conference paper 2024
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Jokic, I. (author)
The concept of a network, defined as a collection of interconnected nodes or entities, has become a foundation for a new field of inquiry, namely network science. Despite the apparent simplicity of the concept, the pairwise representation of interconnecting nodes has enabled a plethora of insights into the structure of networks and the effects...
doctoral thesis 2023
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Tung, Yu (author)
The study of energy consumption across various building clusters offers a path to discerning intricate patterns and establishing energy efficiency metrics. However, these analyses have mostly been limited to small, controlled settings, leaving a vast potential for broader application in energy efficiency management and classification untapped....
master thesis 2023
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Golik, Bartek (author)
Analysing single-cell RNA sequencing data is becoming an increasingly tedious task as the size of data sets grows. As a proposed solution, recent discoveries suggest that these data sets can be binarized without losing much information. This in turn should allow for memory and time efficient methods of storage and computation. Numerous analyses...
bachelor thesis 2023
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Beekhuizen, Michael (author)
Cardiovascular diseases are one of the primary causes of mortality worldwide. Paroxysmal atrial fibrillation is a specific type that is difficult to detect and diagnose in a short time frame. To overcome this, we investigated if long-term wearable data can be used for the detection of heart diseases. The BigIdeasLab_STEP dataset and long-term...
master thesis 2023
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Scheeren, B. (author), Kaminski, M.L. (author), Pahlavan, Lotfollah (author)
This article presents an approach to identify naturally developed damage in low-speed bearings using waveform-similarity-based clustering of acoustic emissions (AEs) under fatigue loading. The approach is motivated by the notation that each recorded AE signal from a particular damage is defined by the convolution of the source signal, transfer...
journal article 2023
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Brinkgreve, R.B.J. (author), Tschuchnigg, F. (author), Laera, A. (author), Brasile, S. (author)
Following up on previous research on Automated Parameter Determination (APD), in which the soil stratification and numerical model parameters are automatically derived from individual CPTs, this article describes ongoing research in which the geotechnical modelling workflow is further automated in a BIM / Digital Twin environment. Especially in...
conference paper 2023
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van Andel, F.M. (author), Mota, Nelson (author)
Este artículo profundiza en el debate actual sobre las interconexiones entre el proyecto de vivienda y el hábitat, destacando cómo los momentos de crisis impulsan la innovación, a menudo mostrada en exposiciones de vivienda. El artículo propone tres enfoques clave para el proyecto participativo de vivienda: Incrementalidad (con la adaptación al...
journal article 2023
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Cats, O. (author)
Human mobility is subject to collective dynamics that are the outcome of numerous individual choices. Smart card data which originated as a means of facilitating automated fare collection has emerged as an invaluable source for analysing mobility patterns. A variety of clustering and segmentation techniques has been adopted and adapted for...
journal article 2023
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Griffioen, Noah (author)
The CONE-LCA framework is a promising framework that can be used to assess the impact of food items on human health and the environment. However, the nutrition-health assessment in the CONE-LCA framework quantifies the health impacts of food at the level of food items with the use of an indicator that is based on only few nutrients and otherwise...
master thesis 2022
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Badhrudeen, Mohamed (author), Derrible, Sybil (author), Verma, T. (author), Kermanshah, Amirhassan (author), Furno, Angelo (author)
This article presents a method to uncover universal patterns and similarities in the urban road networks of the 80 most populated cities in the world. To that end, we used degree distribution, link length distribution, and intersection angle distribution as topological and geometric properties of road networks. Moreover, we used ISOMAP, a...
journal article 2022
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Maurits, Marc P. (author), Korsunsky, Ilya (author), Raychaudhuri, Soumya (author), Murphy, Shawn N. (author), Smoller, Jordan W. (author), Weiss, Scott T. (author), Huizinga, Thomas W.J. (author), Reinders, M.J.T. (author), van den Akker, E.B. (author)
Objective: To facilitate patient disease subset and risk factor identification by constructing a pipeline which is generalizable, provides easily interpretable results, and allows replication by overcoming electronic health records (EHRs) batch effects. Material and Methods: We used 1872 billing codes in EHRs of 102 880 patients from 12...
journal article 2022
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Ghiette, V.D.H. (author), Dörr, C. (author)
Over the past decade, the scanning landscape has significantly changed. Powerful tools such as Masscan or Zmap allow anyone to scan the entire Internet in a matter of hours. Simultaneously, we witnessed the emergence of stealthy scanners, which map the Internet from thousands of vantage points at a low rate attempting to forego detection. As...
conference paper 2022
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Browarska, Maria (author)
In the past few years, the frequency of onset natural disaster has been rising, causing significant damage to communities and infrastructure around the world. When it happens, airports in the region affected have to rapidly adjust and evolve from serving regular passengers to becoming a humanitarian hub, that handles a massive surge in both...
master thesis 2021
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Funatake, Shotaro (author)
Offshore wind energy is one of the emerging renewable technologies toward a zero-carbon emission society. Historically, offshore wind farms have been developed in the North Sea, but nowadays wind farms are expanded to other regions such as North America and Asia, which are seismic prone.<br/>In the design of Rotor-Nacelle-Assembly (RNA) and...
master thesis 2021
Searched for: subject%3A%22clustering%22
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