Searched for: subject%3A%22benchmarking%22
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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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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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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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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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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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Sun, Zhu (author), Fang, Hui (author), Yang, J. (author), Qu, Xinghua (author), Liu, Hongyang (author), Yu, Di (author), Ong, Yew Soon (author), Zhang, Jie (author)
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation...
journal article 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...
conference paper 2023
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Kević, Karlo (author), Kuveždić Divjak, Ana (author), Welle Donker, F.M. (author)
The 2019 European Open Data Directive identifies geospatial data as data that could have a major impact on human activities (high-value data, HVD) and advocates its provision as open data (OD), i.e., without barriers to access and re-use. Although Croatia has implemented OD policies to support the provision of open data, many geospatial data...
journal article 2023
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Flemisch, Bernd (author), Nordbotten, Jan M. (author), Geiger, S. (author), Hajibeygi, H. (author), Tian, X. (author), Voskov, D.V. (author), Wang, Y. (author), Wapperom, M.B. (author), Zhang, Z. (author)
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the time scales of GCS are such that no sufficient long-term data is available yet to validate the simulators against. As a consequence, there is currently no solid basis...
journal article 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
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Kallis, Rafael (author), Izadi, M. (author), Pascarella, Luca (author), Chaparro, Oscar (author), Rani, Pooja (author)
We report on the organization and results of the second edition of the tool competition from the International Workshop on Natural Language-based Software Engineering (NLBSE'23). As in the prior edition, we organized the competition on automated issue report classification, with a larger dataset. This year, we featured an extra competition on...
conference paper 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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Augusto da Silva, F. (author)
In recent years, advances in technology have enabled the employment of automated systems to control driving tasks. The idea of electronic devices having complete control over a vehicle promises to change the concept of mobility soon. However, allowing computers to control all the tasks in a vehicle demands sophisticated systems and significant...
doctoral thesis 2022
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Vergés i Plaza, Guillem (author)
Trailing-edge noise can be the dominant noise source of diverse industrial applications, including wind turbines. Noise regulations may limit the power production and installation of new wind farms. There is a need to reduce it. In order to achieve so, we first need to predict it, and to do so we need experimental data to support and validate...
master thesis 2022
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