Searched for: subject%3A%22benchmarking%22
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Snoeij, Corné (author)
This research explores the use of Artificial Intelligence (AI), specifically Large Language Models (LLMs), into the operationalization of Government Technology (GovTech) benchmarks to increase their utility for policymakers. Research and practice consistently highlight persistent challenges in GovTech benchmarking, such as resource-intensive...
master thesis 2024
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Nieuwschepen, Berend (author)
Governments are increasingly dependent on GovTech, which is the technology that facilitates processes in the public sector. Benchmarking the state of GovTech is done by governments and yields indispensable insights, which are used for optimising resource utilisation, identifying areas for improvement, and facilitating evidence-based policy...
master thesis 2024
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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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Leciñana, I. (author), Renart, J. (author), Carreras, L. (author), Turon, A. (author), Zurbitu, J. (author), Tijs, B.H.A.H. (author)
The main objective of this paper is to present a delamination benchmark test concept for composite materials that develop non-self-similar delamination in characterization specimens. The non-self-similar delamination is induced by rotating the loading blocks. The simplicity of the test allows for analyzing the loading mode history by...
journal article 2024
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Kernan Freire, S. (author), Wang, C.W. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Ruiz-Arenas, Santiago (author), Niforatos, E. (author)
Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system...
journal article 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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Sutcliffe, Steven G. (author), Kraemer, Susanne A. (author), Ellmen, Isaac (author), Knapp, Jennifer J. (author), Overton, Alyssa K. (author), Nash, Delaney (author), Nissimov, Jozef I. (author), Baaijens, J.A. (author), Shapiro, B. Jesse (author)
Wastewater-based surveillance (WBS) is an important epidemiological and public health tool for tracking pathogens across the scale of a building, neighbourhood, city, or region. WBS gained widespread adoption globally during the SARS-CoV-2 pandemic for estimating community infection levels by qPCR. Sequencing pathogen genes or genomes from...
journal article 2024
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Bröchin, Manuel (author), Pickering, Bryn (author), Tröndle, Tim (author), Pfenninger, Stefan (author)
Background: Energy system models based on linear programming have been growing in size with the increasing need to model renewables with high spatial and temporal detail. Larger models lead to high computational requirements. Furthermore, seemingly small changes in a model can lead to drastic differences in runtime. Here, we investigate...
journal article 2024
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Erwich, Hajo (author)
Gas Source Localization (GSL) is a challenging field of research within the robotics community. Existing methods vary widely and each has its own strengths and weaknesses. Existing GSL evaluations vary in environment size, wind conditions, and gas simulation fidelity, thereby complicating objective comparison between algorithms. They also lack...
master thesis 2023
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SHI, MOJI (author)
Dynamic obstacle avoidance remains a crucial research area for autonomous systems, such as Micro Aerial Vehicles (MAVs) and service robots. <br/>Efforts to develop dynamic collision avoidance techniques in unknown environments have proliferated in recent years. While these methods exhibit impressive and reliable performance in simpler...
master thesis 2023
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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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van Loevezijn, Wout (author)
Benchmarks for quantum network systems currently are an underrepresented subject in the research field. This paper evaluates how informative a distributed CNOT gate application is, in recognizing errors in the total quantum system. The goal is to decide whether it should be included as a benchmark in a newly developed benchmark suite for quantum...
bachelor thesis 2023
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Dekeling, Casper (author)
In the development of any new technology, it is essential to have methods to assess the quality of a system, to compare different systems to one another, and to compare different versions of the same system, to see if changes to the system can actually be classified as improvements. For quantum networks, this is no different. To further develop...
bachelor thesis 2023
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Chopra, Arnav (author)
Quantum networks provide numerous potential benefits over classical networks, such as enhanced security and faster computation, making their further development a lucrative prospect. As is the case with any technology, the advancement of quantum networks relies on the development of frameworks to test their quality, and compare different...
bachelor 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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Comans, Martijn (author)
Serverless computing is an increasingly popular paradigm in cloud computing where many of the operational challenges of running cloud applications, like server provi- sioning and management, are left to the cloud provider. A popular form of server- less computing is Functions-as-a-Service (FaaS), where the user submits functions for which the...
master thesis 2023
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Schumann, J.F. (author), Kober, J. (author), Zgonnikov, A. (author)
Autonomous vehicles currently suffer from a time-inefficient driving style caused by uncertainty about human behavior in traffic interactions. Accurate and reliable prediction models enabling more efficient trajectory planning could make autonomous vehicles more assertive in such interactions. However, the evaluation of such models is...
journal article 2023
Searched for: subject%3A%22benchmarking%22
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