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Predicting Haemodynamic Instability in Critical Congenital Heart Disease Patients: A Proof of Concept

van Winden, Brian (author)

Introduction<br/>Approximately 9 in 1000 children are born with congenital heart disease (CHD), of whom a quarter are classified as critical CHD (CCHD) and require an intervention within their first year. Monitoring these patients in the Paediatric Intensive Care Unit (PICU) is crucial, yet with increasing amounts of data, detecting subtle...

master thesis 2024

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Towards a predictive maintenance strategy for Passenger Boarding Bridges at the airport

Meijs, Lester (author)

With Schiphol Airport's flight numbers growing, working assets are essential to ensure on-time processes. The Passenger Boarding Bridge (PBB) is a critical asset in the airport's turnaround process. By ensuring that the asset is working properly, the operational processes can run efficiently. Currently, improving the reliability of the PBB when...

master thesis 2024

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Predictive analytical terminal ballistics modelling of multi-layered non-metallic targets: Development, experimental validation and uncertainty quantification

Lafuente Arjona, Oscar (author)

Military ground vehicles require protection against ballistic threats encountered in the battlefield. Traditionally used armour steel dramatically increases the weight of a vehicle, decreasing its mobility and hampering its capability of carrying payload. The development of new material and protection concepts, namely non-metallic armours, that...

master thesis 2023

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Treatment Prediction in PDAC Patients: A Predictive Model for FOLFIRINOX Chemotherapy Response using Random Forest and Integrative Analysis of Blood and Tumor Markers

Lu, Jenny (author)

Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with a high mortality rate, poor prognosis, and a mere 7.7% 5-year survival rate [1] compared to 65% for all cancer types [2]. Approximately 80% of patients are diagnosed at the advanced stage [3], for which only palliative chemo(radio)therapy remains as treatment option. However,...

master thesis 2023

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An Assessment of Predictive Models for Operational Management of a Reservoir in a Data-Scarce Basin: A Case Study of the Black Volta Basin

Kasteel, Max (author)

The Bui Dam, the second-largest hydropower dam in Ghana, plays a significant role in the sustainable energy mix of the country. It is managed by the Bui Power Authority (BPA) and has a capacity of hydro-clean generation of 404MW, contributing to 17% of the country’s total electricity generation. However, decision-making at the dam lacks the use...

master thesis 2023

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Task Load Estimation for ATC Ground Control: A Dynamic Density-based Analysis

Brunia, Stijn (author)

Increasing runway capacity is a key objective for many airports worldwide, including Schiphol Airport. One of the restricting factors that has become more prevalent throughout the years lies in the task load of the Air Traffic Ground Controllers. To overcome this limiting factor, it becomes essential to mitigate this high task load. This study...

master thesis 2023

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Reducing Occupational Radiation Exposure in Cardiac Catheterisation Laboratories: Dose Rate Predictions and Feedback Strategies

van Deudekom, Thijs (author)

Summary<br/>Introduction<br/>The increasing use of cardiac catheterisation procedures has raised concerns about occupational radiation exposure and its associated health risks for clinicians. Radiation exposure can lead to deterministic and stochastic effects, including cataract and various cancers. To minimise these risks, the ALARA (As Low As...

master thesis 2023

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The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission

Schouten, Janno (author)

Patients who are admitted to the Intensive Care Unit (ICU) are extremely ill and at high risk of organ failure and death. Being admitted to the ICU is known to cause long lasting physical, cognitive, and physiological symptoms, which is called Post-Intensive Care syndrome (PICS). To provide better management of PICS, early recognition and...

master thesis 2023

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A predictive model of concrete compressive strength based on level of contamination of coarse aggregate: Experimental study and relation to the water absorption of the coarse aggregate

Nedelchev, Hari (author)

Recycled aggregate concrete is emphasized more and more nowadays due to its importance towards the construction industry and general welfare of our planet. Being such a significant feature with regard to universal sustainable development, every aspect of its properties should be evaluated, examined and optimized so that there is a well-known,...

master thesis 2023

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The Impact of Infrastructure Design on Cycling Safety

van Bentem, Leanne (author)

Increasing concerns about the safety of cyclists request for more research in how infrastructure can be improved to increase cycling safety. Literature in the prediction of bicycle crash risk however is very limited. Also the amount of available (exposure) data was often very limited. The aim of this study was to provide a better understanding...

master thesis 2022

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Automated functional outcome prediction in stroke using combined imaging and clinical parameters

de Graaf, Samantha (author)

Predicting functional outcome after intra-arterial treatment (IAT) in acute ischemic stroke (AIS) patients is an important aspect of treatment decision making and prognostics. Standard methods for functional outcome prediction after stroke combine baseline clinical (and radiological) parameters. In this study, we investigated to what extent...

master thesis 2022

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Individual Prediction Modelling for Air Traffic Control using Supervised Learning

Kloosterman, Luc (author)

In the future, Air Traffic Controllers are expected to work together with more advanced computer-based automation that can automatically take action. The main challenge is then how to design computer-based tools such that they foster acceptance among air traffic controllers. One possible approach to foster acceptance is by matching the automated...

master thesis 2022

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Validation of the Hypotension Prediction Index on the Intensive Care Patient Population

Ligtenberg, Max (author)

A low blood pressure (hypotension, as mean arterial pressure &lt; 65 mmHg) in patients on the intensive care unit (ICU) is associated with adverse outcomes and death. Proactive treatment with the use of a predictive alarm could improve patient outcome. The Hypotension Prediction Index (HPI) is a machinelearning algorithm that uses arterial blood...

master thesis 2021

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Predictive modelling of facial features from DNA

Jans, Guusje (author)

Background: In recent years, attention to the genetic architecture of normal-range variation in facial morphology has risen and through GWAS genetic loci associated with facial morphology have been identified. However these give no insight in how the face is shaped by genetics. To investigate the relationship between the genotype and the...

master thesis 2021

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Integrating Predictive and Optimization Model for Intelligent Schedule Management based on Real Time ETA Information: A Concept of Machine Learning and Exact Solution in Petrochemical Loading Facility

Emanuel Febrianto Prakoso, Emanuel (author)

This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...

master thesis 2021

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Analysis of travel planner use, route choice behaviour and passenger predicitions on the Dutch railway: a case of the Nederlandse Spoorwegen

Witte, Lara (author)

master thesis 2021

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Experimental data-tracking of the BMX SX gate start using biomechanical modeling and trajectory optimization

Groenhuis, Jan (author)

Introduction During Bicycle Motocross races (BMX SX), the start has been proven to be crucial for good overall performance [1]. Riders reaching the bottom of the eight meter high starting ramp in front of the pack, have a favorable position to perform the first jump and can pick the most ideal line through the first corner. The chances of...

master thesis 2021

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Predicting Intensive Care Unit Readmission: Performance and Explainability of Machine Learning Algorithms

van der Meijden, Siri (author)

Intensive Care Unit (ICU) readmission is a serious adverse event associated with high mortality rates and costs. Prediction of ICU readmission could support physicians in their decision to discharge patients from the ICU to lower care wards. Due to increasing ICU data availability, Artificial Intelligence (AI) models in the form of machine...

master thesis 2021

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Performance prediction model for a Ship -to-shore crane: Productiviteit predictie model van een schip tot wal kraan

Nuur, Ahmed (author)

This thesis presents the design of a performance prediction simulation model for an ship-to-shore crane. Current STS crane models do not take new trends in container terminal operations into account like automation. These models do not predict the performance accurately. This can lead to logistical and financial <br/>consequences. Automation...

master thesis 2020

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Predicting Injury Risk with Machine Learning Methods using a Longitudinal Data Set

Wu, Lian (author)

Sports injury has long been causing concern to the athlete’s performance, financial aspect, and psychological impact. This is even more prominent in recent years as sports become more widely available o the mass population. Reducing the chances of athletes experiencing injuries not allows them to maintain optimal performance during training and...

master thesis 2020