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Opioid-Induced Respiratory Depression, a Comprehensive Data Analysis: Unravelling Opioid-Induced Respiratory Depression through Unsupervised Machine Learning on Respiratory Flow Data

Leenen, Femke (author)

Introduction <br/>Opioids are vital for pain management but are highly addictive and may lead to opioid-induced respiratory depression (OIRD), which is the primary cause of death related to both prescription and illicit opioid use. This study employed unsupervised machine learning (ML) to examine potential changes in cluster patterns post-opioid...

master thesis 2024

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Physics-informed machine learning for nowcasting extreme rainfall

Yin, Junzhe (author)

The thesis explores an innovative technique for enhancing the precision of short-term weather forecasts, particularly in predicting extreme weather phenomena, which present a notable challenge for existing models such as PySTEPS due to their volatile behavior. Leveraging precipitation and meteorological data sourced from the Royal Netherlands...

master thesis 2024

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Extreme Precipitation Nowcasting using Transformer-based Generative models

Roy, Ankush (author)

Extreme precipitation, like floods and landslides, poses major risks to safety and the economy, underscoring the need for sophisticated weather forecasting to predict these events accurately, enhancing readiness and resilience. Nowcasting, which uses real-time atmospheric data to predict short-term weather, is key in addressing this challenge....

master thesis 2024

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Towards Robust Object Detection in Unseen Catheterization Laboratories

Wang, Zipeng (author)

Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central...

master thesis 2024

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Small end-to-end OCR model

Dun, Jingwen (author)

Optical Character Recognition (OCR) is a pivotal technology used to extract text information from images, finding wide-ranging applications in document digitization and medical records management. The integration of machine learning has ushered in an era of swift and precise OCR models. Broadly, OCR comprises two key components: detecting the...

master thesis 2023

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Efficient Content-Based Image Retrieval from Videos using Compact Deep Learning Networks with Re-ranking

Barokas Profeta, Doruk (author)

The rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of...

master thesis 2023

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Prediction of Post-induction Hypotension by Machine Learning

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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Deep Learning-Empowered Content-Based Video Image Retrieval

Li, Sinian (author)

The advent of streaming and video has sparked a revolutionary shift in the presentation of materials across various fields, such as history, art, and media copyright protection. In this context, scholars and rights holders are seeking efficient solutions to index, retrieve, and browse through digital content searching for a specific instance....

master thesis 2023

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Machine learning algorithm to estimate cardiac output based on non-invasive arterial blood pressure measurements

Hamo, Alan (author)

Cardiac output (CO), a vital hemodynamic parameter that reflects the blood volume pumped by the heart per minute, is crucial for determining tissue oxygen delivery and the heart's ability to meet the body's demands. Researchers have developed various methods to measure cardiac output, including thermodilution using pulmonary artery catheters ...

master thesis 2023

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Optimizing Object Detection Models for Flood Risk Assessment by Street View Imagery

Marsman, Rienk (author), Wams, Tjeerd (author), van der Toorn, Kevin (author)

Determining ground level elevation is essential in assessing flood risk. This report presents a com-prehensive framework using state-of-the-art object detection model YOLOv8 trained on a relatively small dataset containing houses, doors and steps. The object detection model is followed up by a post-processing block designed specifically for...

bachelor thesis 2023

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Region Of Interest Enlargement for Effective Resolution Enhancement of Object Detection Models for Flood Risk Assessment through Street View Imagery

Engelenberg, Philip (author), Serrien, Yannick (author), Kepguep, Adrian (author)

This thesis presents a comprehensive analysis and implementation of a program designed to detect the number of steps leading up to the front door of a house using a Google Street View Image. The purpose of counting the steps is to have a proxy of the ground floor elevation by multiplying with an average step height. After determining the street...

bachelor thesis 2023

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Video-based Event Detection in Catheterization Laboratory

Chang, Yiheng (author)

Catheterization Laboratory (Cath Lab) is a hospital examination room equipped with diagnostic imaging equipment to display the heart arteries and to detect and treat any abnormality or stenosis. This thesis addresses the urgent need to improve the efficiency of operating rooms in Cath Labs due to the increasing number of patients with...

master thesis 2023

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Self-calibrated plant counting in early crop stand scenarios using deep clustering: Jonacount: make every plant count

Dijkstra, Jonathan (author)

In recent years, the agricultural sector has seen significant techno- logical improvements under the flag of precision agriculture, assisting farmers in the manageability that coincides with large-scale farming. Moreover, precision agriculture aims to enable plant-specific farming on the macro scale that is demanded by the current global...

master thesis 2023

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AI on low-cost hardware: Microcontroller subgroup

Rom, Mano (author), Brand, Jarl (author)

The creation of effective computational models that function within the power limitations of edge de- vices is an important research problem in the field of Artificial Intelligence (AI). While cutting-edge deep learning algorithms show promising results, they frequently need computing resources that are many orders of magnitude more than the...

bachelor thesis 2023

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AI on Low-Cost Hardware: Software Subgroup

Zheng, Hong Jie (author), van den Berg, Christian (author)

Artificial Intelligence has become a dominant part of our lives, however, complex artificial intelligence models tend to use a lot of energy, computationally complex operations, and a lot of memory resources. Therefore, it excluded a whole class of hardware in its applicability. Namely, relatively resource-constrained low-cost hardware. This...

bachelor thesis 2023

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AI on Low-Cost Hardware: FPGA subgroup

Hu, Li Ou (author), Adriaanse, Marijn (author)

In the past decades, much progress has been made in the field of AI, and now many different algorithms exist that reach very high accuracies. Unfortunately, many of these algorithms are quite resource intensive, which makes them unavailable on low-cost devices. <br/>The aim of this thesis is to explore algorithms and neural network techniques...

bachelor thesis 2023

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A trainable activation scheme for applying Neural Radiance Fields in novel view synthesis tasks

Wang, Chuhan (author)

3D scene reconstruction is a common computer vision task with many applications. The synthesized virtual environments are beneficial for many downstream applications such as 3D modeling, building inspection, virtual reality, etc. As conventional scene reconstruction methods often require expensive data collections and prior information on the...

master thesis 2022

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Extreme precipitation nowcasting using deep generative model

Bi, Haoran (author)

Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss. It is crucial to develop a reliable weather forecasting system that can predict such extreme events to mitigate the effect of heavy precipitation and increase resilience to these hazards....

master thesis 2022

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Detecting Medical Equipment in the Catheterization Laboratory using Computer Vision

Dai, Renjie (author)

Workflow analysis aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations can be made and evaluated by algorithms rather than human experts. For our study, we mount five calibrated cameras from different angles in a Catheterization Laboratory (Cath Lab) to...

master thesis 2022

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Reconstruction and Rendering of Buildings as Radiance Fields for View Synthesis

CHEN, ENPU (author)

In inspection and display scenarios, reconstructing and rendering the entire surface of a building is a critical step in presenting the overall condition of the building. In building reconstruction, most works are based on point clouds because of their enhanced availability. In recent years, neural radiance fields (NeRF) have become a common...

master thesis 2022