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Human Interaction in Tabular Data Augmentation in Data Science Workflows

Mouw, Zeger (author)

The advancement of artificial intelligence (AI) has led to an increased demand for both a greater volume and quality of data. In many companies, data is dispersed across multiple tables, yet AI models typically require data in a single table format. This necessitates the merging of these tables and the selection of optimal features for the model...

master thesis 2024

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Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data

Themans, Tamir (author)

Background context: Intraoperative neuromonitoring (IONM) has proven effective in reducing postoperative neurological complications. However, current understanding of IONM is limited and its precise meaning in relation to neurological outcomes remains unclear. Machine learning (ML) is a promising solution to analyze the excessive amount of IONM...

master thesis 2024

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Data Driven Approximations Of PDEs: On Robustness of Reduced Order Mappings between Function Spaces Against Noise

Lacombe, Pablo (author)

This paper presents a comprehensive exploration of a novel method combining Principal Component Analysis (PCA) and Neural Networks (NN) to efficiently solve Partial Differential Equations (PDEs), a fundamental challenge in modeling a wide range of real-world phenomena. Our research extends the work of Bhattacharya et al. by focusing on PCA for...

bachelor thesis 2024

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Reasoning about MDPs Abstractly: Bayesian Policy Search with Uncertain Prior Knowledge

Molhoek, Jord (author)

Many real-world problems fall in the category of sequential decision-making under uncertainty; Markov Decision Processes (MDPs) are a common method for modeling such problems. To solve an MDP, one could start from scratch or one could already have an idea of what good policies look like. Furthermore, there could be uncertainty in this idea. In...

master thesis 2024

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Long-Term Memory Retention of Educational Content: How Machine Learning concepts can be remembered for the rest of our careers with the right practice questions

Mušić, Ismail (author)

To aid the teachings of machine learning (ML), the usage of elaborative interrogative practice questions (EIPQ) is proposed to increase the long-term memory retention of said teaching. Firstly, the existing expectations of students in the current educational landscape are analyzed by taking a look at the undergraduate course present in Delft...

bachelor thesis 2024

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Indoor Localization for Efficient Bike-Sharing Management

Visser, Berend (author)

In response to the growing demand for sustainable transportation solutions, bike-sharing systems have gained prominence in supporting an eco-friendly means of commuting. Within this landscape, Skopei, a forward-thinking company specializing in innovative sharing propositions, has developed a smart bike lock capable of autonomous rentals and...

master thesis 2024

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Predicting Propeller Behaviour Using Machine Learning

Zuiker, Lourens (author)

This thesis focuses on developing a model that effectively captures and generalizes the four quadrant behaviour of propellers, which is crucial for understanding and optimizing propulsion systems in marine vessels. Accurate prediction of four quadrant behaviour offers significant benefits to the industry, including reducing fuel consumption,...

master thesis 2023

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Monitoring Flexural Fatigue Life of Asphalt Concrete by Piezoelectric Sensors: Strategy for fatigue life prediction and damage detection based on load history on any asphalt matrix

Kazmi, Syed Baqir Ali (author)

This dissertation endeavors to introduce a novel supervised Structural Health Monitoring (SHM) methodology for the detection of damage and the prediction of fatigue life in asphalt concrete materials. Grounded in the principles of S-N (strain-number of cycles until failure) curves, this research addresses the intricate task of proficiently...

master thesis 2023

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Exploring Intronic RNA-Seq Read Counts for Machine Learning Phenotype Prediction

Zuiker, Thomas (author)

The inclusion of intronic reads in the downstream analysis of RNA-sequencing (RNA-seq) data has long been controversial. Recent studies show that intronic reads do contain relevant biological signal. Additionally, studies have discovered differential expression unique to intronic reads in certain diseases. Nevertheless, most disease prediction...

master thesis 2023

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Machine learning for real-time prediction of intradialytic hypotension

Josemans, Sabine (author)

Introduction<br/>In the Netherlands, approximately five thousand people are dependent on maintenance hemodialysis (HD) treatment. The one-year mortality of this patient population in 2021 was as high as 18%. A significant contributor to this high mortality and burden on HD patients is the high incidence of intradialytic hypotension (IDH), which...

master thesis 2023

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Predicting antibiotic resistance in patients with postoperative infections using machine learning based models

Engel, Friso (author)

Introduction<br/>In the era of growing antimicrobial resistance, early detection and immediate treatment of antibiotic-resistant infections are crucial to ensuring successful outcomes in critically ill patients. The aim of this study is to apply machine learning (ML) to create classifiers that predict antibiotic resistance in postoperative...

master thesis 2023

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Indoor in-network asset localization using Crownstone network

MARATHE, VISHAKHA KIRAN (author)

This thesis project has been done with Crownstone, a subsidiary company of Almende. One of their project goals was to develop indoor localization algorithms to determine room-level location of an asset within the Crownstone network for smart-building, home automation and healthcare applications. An asset is a wireless device transmitting...

master thesis 2023

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WaveTune: Millimeter Wave Radar based Hand Gesture Recognition for Musical Applications

Juneja, Suchdeep Singh (author)

In the ever-evolving field of music technology, new solutions continue to emerge that enhance musical expression and creativity. This thesis introduces WaveTune, a novel lightweight hand gesture recognition system that enables real-time control of musical composition and performance through natural hand motions.<br/><br/>WaveTune utilizes...

master thesis 2023

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Identification of Bacteria with Artificial Intelligence

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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Static Analysis Complements Machine Learning: A Type Inference Use Case

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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Permeability Prediction: A study of machine learning models application for permeability prediction using petrophysical well logs

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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Multi Target XGBoost Cash Flow Prediction: An Efficient Machine Learning Algorithm For Future Liability Projections

van Schagen, Sebastiaan (author)

Insurers are required to have buffers to be able to meet financial obligations that result from their portfolios, which are determined using a cash flow model. The input of such a cash flow model consists among of things, of two mortality tables and the portfolio of an insurer. Mortality rates are simulated using the Lee-Carter model. These...

master thesis 2023

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Electroencephalography Monitoring in the Critically Ill: Towards a More Efficient and Effective Monitoring Strategy

Verboom, Marit (author)

Critically ill patients in the Intensive Care Unit (ICU) are often comatose and thoroughly monitored. Neurological complications occur in up to 20% of these patients. Therefore, monitoring of the brain, which can be performed using electroencephalography (EEG), has the potential to significantly impact the outcomes of patients at the ICU....

master thesis 2023

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A TinyML system for gesture detection using 3D pre-processed data

van den Broek, Sem (author)

Visible light sensing is a field of research that creates new possibilities for human-computer interaction. This research shows the viability of designing a system for detecting hand gestures using a cost-effective detection circuit employing 3 light-sensitive photodiodes. The way this research shows viability is by developing a machine-learning...

bachelor thesis 2023

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Glacial Isostatic Adjustment Forward Model with a Convolutional Neural Network

Bouma, Quinten (author)

This thesis introduces a new approach to Glacial Isostatic Adjustment (GIA) modeling using Machine Learning (ML) techniques. The work addresses two main challenges – uncertainty in historical ice load history and the complexity of inverse problems – by developing two ML-based surrogate models (emulators) to rapidly estimate Relative Sea-Level ...

master thesis 2023