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Schmidt, Stephan (author)This paper examines the end-to-end development process for a Convolution Neural Network (CNN) based damage classification tool for ultrasonic inspection of aerospace-grade composite structures. The recent advent of Artificial Intelligence (AI) and Machine Learning (ML) has piqued the interest of the aerospace industry since it has the potential...master thesis 2023
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Mendoza Silva, Santiago (author)Bacterial identification is crucial for addressing infectious diseases and enabling effective treatment strategies. Conventional bacteria identification methods like MALDI-TOF, while efficient, lack the capability for screening the effectiveness of antibiotics. On the other hand, existing antimicrobial resistance (AMR) tests, despite being...master thesis 2023
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Patalay, Prathamesh (author)PROBLEM<br/>Foundation Models are emerging as a new paradigm in AI research &<br/>commercialisation. While this opens up possibilities for radically innovative<br/>solutions and significant value creation, startups are challenged with finding<br/>unique & differentiated ways to leverage the technology, while simultaneously<br/>mitigating...master thesis 2023
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Liu, Yi (author)Is healthy eating simply the intake of correct quantities of certain nutrients, regardless of how and where? This project addresses improving wellbeing within the broad context of eating. <br/><br/>Eating-related guidance products have a hyper-focus on nutrition and/or weight loss, to the detriment of a wider definition of “health”. Wellbeing is...master thesis 2023
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van Spengler, Olivier (author)Demand forecasting plays a critical role in organizational planning, encompassing inventory management, capacity allocation, and financial decision-making. However, achieving accurate forecasts can be challenging, particularly in industries characterized by high demand volatility, such as semiconductor assembly equipment manufacturing,...master thesis 2023
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Lu, Guang (author)This research project delves into the exploration of the sound environment within Intensive Care Units (ICUs), particularly focusing on Neonatal Intensive Care Unit (NICU) and Pediatric Intensive Care Unit (PICU). It aims to enhance the understanding of sound events and their impact on both nurses' decision-making and patients' sleep behaviors....master thesis 2023
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feng, lang (author)Type inference plays a pivotal role in modern software development as it aids in understanding code, detecting errors, and facilitating code completion. Two main approaches, static analysis, and machine learning, contribute to this process. Each approach has its own benefits and limitations. This thesis investigates the potential of combining...master thesis 2023
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Campos Montero, Fabian (author)This thesis introduces a novel Generative Adversarial Network application called SchemaGAN, which has been adapted from the Pix2Pix architecture to take Cone Penetration Test (CPT) data as a conditional input and generate subsoil schematizations. For training, validation and testing, a database of 24,000 synthetic schematizations of size 32x512...master thesis 2023
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- Lindner, Nadja (author) master thesis 2023
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Baez Lozada, Luis Carlos (author)This research evaluates the applicability of Multivariate Imputation by Chained Equations (MICE) for estimating missing well-log data across different sedimentary basis. Utilizing various machine learning techniques including XGBoost (XGB), Random Forest (RF), K-Nearest Neighbors (KNR), and Bayesian Ridge (BR), the performance of MICE was tested...master thesis 2023
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Tan, Martin (author)In the field of Systems and Control, optimal control problem-solving for complex systems is a core task. The development of accurate mathematical models to represent these systems’ dynamics is often difficult. This complexity comes from potential uncertainties, complex non-linearities, or unknown factors that might affect the system. Because of...master thesis 2023
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Chen, Linda (author)Background: Histopathological examination in the diagnostic workflow of oropharyngeal squamous cell carcinoma (OPSCC) is essential. We aimed to develop a machine learning pipeline to predict human papillomavirus (HPV) status in OPSCC patients based on clinical variables and multiparametric magnetic resonance imaging (MRI). <br/>Methods: In a...master thesis 2023
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Rajesh, Aditya (author)The current research work investigates the possibility of using machine learning models to deduce the relationship between WAAM (wire arc additive manufacturing) sensor responses and defect presence in the printed part. The work specifically focuses on three materials from the nickel alloy family – Inconel 718, Invar 36 and Inconel 625, and uses...master thesis 2023
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Ziad Ahmad Saad Soliman Nawar, Ziad (author)Machine learning (ML) systems for computer vision applications are widely deployed in decision-making contexts, including high-stakes domains such as autonomous driving and medical diagnosis. While largely accelerating the decision-making process, those systems have been found to suffer from a severe issue of reliability, i.e., they can easily...master thesis 2023
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Kyriazis, Ioannis (author)Patients with neuromuscular diseases that are unable to speak, but whose cognitive ability has been maintained, can be benefited from Brain Computer Interfaces (BCIs). The decoding of inner (covert) speech from EEGs consists of one of the state of the art methods that aim to tackle this issue. High variability between subjects, as well as low...master thesis 2023
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Zhao, Shuoyan (author)Anesthesia-related hypotension is a significant concern during surgery, occurring shortly after induction and potentially leading to severe complications. Since the anesthetic drug is believed to have an important role in the occurrence of post-induction hypotension (PIH), anesthesiologists now advocate for the appropriate selection of...master thesis 2023
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Georgescu, Calin (author)Kotlin is a programming language best known for its interoperability with Java, as well as the measurable improvements it offers over it. Since it became Android’s go-to language in 2019, the popularity and impact of Kotlin have risen greatly. Amidst this surge in popularity, the Kotlin developer team is working on a new version of the compiler...master thesis 2023
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Stals, Michael (author)Numerical modelling in Geo-Engineering is used to solve complex problems by simulating, analysing, or predicting soil behaviour under certain loading and boundary conditions. The soil behaviour is simulated by constitutive models that describe the relationship between stresses and strains through a mathematical formulation. Model parameters are...master thesis 2023
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Al Atwah, SALEH (author)Permeability, a key reservoir characteristic, governs the rate of fluid flow through reservoir rocks. Accurate permeability estimates are paramount for robust reservoir simulation, history matching, and production forecasting. Due to limited core data availability and intrinsic heterogeneity of permeability at different scales, establishing...master thesis 2023
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Vos, Gerard (author)The political interest in fish habitat suitability and, consequently, of fish populations has increased. The fish habitat suitability is a key factor for successful ecological restoration, for example via dam removal and implementation of fish passage. Furthermore, the fish population composition determines the ecological quality of water bodies...master thesis 2023