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Hijdra, Rens (author)
In Sustainable Software Engineering there is a need for tooling and guidelines for developers. In this research we aim to provide such guidelines. We find that for our experimental setup and set of benchmarks 500 samples gives results that are likely stable at a 1% threshold in their Relative Confidence Interval Width. Running benchmarks with a...
master thesis 2024
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Matušovič, Marko (author)
Optimizing SQL query execution through effective cost models is a critical challenge in database management systems (DBMS). This thesis introduces a modular benchmarking system for cost models, with a pluggable architecture for both cost models and execution engines, enabling comprehensive benchmarking across various scenarios. Accompanied by a...
master thesis 2024
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Lnenicka, Martin (author), Nikiforova, Anastasija (author), Luterek, Mariusz (author), Milic, Petar (author), Rudmark, Daniel (author), Neumaier, Sebastian (author), Santoro, C. (author), Casiano Flores, Cesar (author), Janssen, M.F.W.H.A. (author), Rodríguez Bolívar, Manuel Pedro (author)
Open government and open (government) data are seen as tools to create new opportunities, eliminate or at least reduce information inequalities and improve public services. More than a decade of these efforts has provided much experience, practices, and perspectives to learn how to better deal with them. This paper focuses on benchmarking of...
journal article 2024
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Veen, Tijn (author)
Purpose - With the ongoing rise of product returns in the fashion industry, exacerbating its GHG footprint when it should be lowered, this paper aims to provide a measurement tool for companies to improve the environmental impact of product returns while considering the economic costs. Companies do not have an understanding of the impact of...
master thesis 2023
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MALIAPPIS, THOMAS (author)
The rapid advancement of Quantum Network architectures necessitates a comprehensive and quantitative comparison to assess their effectiveness and performance. Unfortunately, there does not exist an implemented quantum network benchmark suite capable of determining the superior architecture. Hence, our study aims to establish the foundation for...
bachelor thesis 2023
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Cristea, Vlad (author)
Federated Learning is a machine learning paradigm for decentralized training over different clients. The training happens in rounds where each client learns a specific model which is then aggregated by a central server and passed back to the clients. Since the paradigm’s inception, many frameworks that provide Federated Learning tools and...
bachelor thesis 2023
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Kant, Henk (author)
As the sharing of machine learning (ML) models has increased in popularity, more so-called model zoos are created. These repositories facilitate the sharing of models and their metadata, and other people to find and re-use an existing model. However, the metadata provided for models is insufficient, with little focus on practical aspects of a...
master thesis 2023
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Bliek, Laurens (author), Guijt, A. (author), Karlsson, R.K.A. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)
Surrogate algorithms such as Bayesian optimisation are especially designed for black-box optimisation problems with expensive objectives, such as hyperparameter tuning or simulation-based optimisation. In the literature, these algorithms are usually evaluated with synthetic benchmarks which are well established but have no expensive objective...
journal article 2023
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Braun, M. (author)
This thesis addresses the topic of visual person detection and pose estimation. While these tasks are relevant for a broad range of applications, this thesis focuses on the domain of intelligent vehicles in urban traffic scenes. This domain is particularly interesting due to specific challenges related to visual perception from a moving vehicle....
doctoral thesis 2022
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Kevin Shidqi, Kevin (author)
With recent breakthroughs in AI (Artificial Intelligence) technology, the impact of AI on society can be felt in various fields. The market for AI software, for example, reached a valuation of \$62 billion in 2022. A growing number of new computer architectures specialized in running these AI software were also developed. At first they were run...
master thesis 2022
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Donkers, Huub (author)
As the technology of quantum computers improves, the need to evaluate their performance also becomes an important tool for indexing and comparing of quantum performance. Current benchmarking proposals either focus on gate-level evaluation, are centered around a single performance metric, or only evaluate in-house quantum computers. This gives...
master thesis 2022
document
Verbruggen, L.A.H. (author), van Duin, Ron (author), Tavasszy, Lorant (author), Schoenmaker, R. (author), Cornelissen, S.C. (author)
Over the past decade, the complexity of operations in maritime port areas has increased significantly. Considering the challenges ports are facing with the maintenance of aging infrastructures, the need for asset management efficiency within the port industry is imperative. The willingness to ensure continuous improvement has contributed to a...
journal article 2022
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Marijan, Dusica (author), Lal, C. (author)
As blockchain technology is gaining popularity in industry and society, solutions for Verification and Validation (V&V) of blockchain-based software applications (BC-Apps) have started gaining equal attention. To ensure that BC-Apps are properly developed before deployment, it is paramount to apply systematic V&V to verify their...
review 2022
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Devroey, Xavier (author), Gambi, Alessio (author), Galeotti, Juan Pablo (author), Just, René (author), Kifetew, Fitsum Meshesha (author), Panichella, Sebastiano (author), Panichella, A. (author)
Researchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various languages (e.g., Java, C#, or Python) and various platforms (e.g., desktop, web, or mobile applications). The generators exhibit varying effectiveness and efficiency,...
journal article 2022
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MUHAMMAD RAYYAN, Rayyan (author)
The application of reliability analysis in geotechnical engineering is relatively new compared to the other sections of civil engineering such as structural engineering and hydraulic engineering. However, due to its increases use in recent years, reliability analysis is planned to be included extensively in the upcoming Eurocode 7 (EN 1997)....
student report 2021
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Zwart, Marc (author)
Major advances in the fault tolerance of distributed stream processing systems provided the systems with the capacity to produce strictly consistent results under failures. Consistent fault tolerance has been one of the catalysts fueling the maturity of streaming systems and boosting their widespread adoption not only for analytics use cases,...
master thesis 2021
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Korkić, Armin (author)
Cancer has been known as a deadly and complex disease to tackle. By applying machine learning algorithms we hope to improve personalized treatment for cancer patients. These machine learning algorithms are trying to learn a (latent) representation of the input. The problem is that this representation is hard to interpret and to observe the...
bachelor thesis 2021
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Bes, Ruben (author)
Many types of database management systems exist, but finding the one that is right for a specific use case is becoming increasingly more difficult. Benchmarks allow one to compare various systems, but in a world where distributed DBMSs are increasingly used for mission critical purposes, we find most existing benchmarks neglect fault tolerance...
master thesis 2021
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van der Linden, J.G.M. (author), Lane, N.R. (author), de Weerdt, M.M. (author)
Due to increasing numbers of intermittent and distributed generators in power systems, there is an increasing need for demand responses to maintain the balance between electricity generation and use at all times. For example, the electrification of transportation significantly adds to the amount of flexible electricity demand. Several methods...
journal article 2021
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Muhammad Fareza, Reza (author)
The shipbuilding industry is not a standalone industry. It integrates with the shipping market, and therefore one characteristic of the shipbuilding industry is complexity. Competitiveness is a multi-dimensional concept that can be measured in numerous ways. The author found that these multi-dimensional concepts can better be translated into...
master thesis 2020
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