Collection: education
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Verstappen, Gabi (author)
This thesis, titled "Designing for the Wellbeing of Healthcare Professionals: Using AI to Reduce the Administrative Load of Healthcare Professionals & Improve Their Job Satisfaction," explores the critical issue of healthcare professional wellbeing. It delves into the factors affecting their job satisfaction and the potential of artificial...
master thesis 2024
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van Veen, Joep (author)
This graduation report presents a comprehensive approach to the identification of an opportunity in the rising technology and interests in generative AI. The report delivers a concept for a tool that is designed for managers. The tool is aimed at aiding in the integration of generative AI within teams. The project is grounded in a literature...
master thesis 2024
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Laan, Casper (author)
The project attempts to address the types of spaces needed to guide the AI revolution constructively. Currently, an AI revolution is unfolding, as reported in newspapers, broadcasted on the news, and discussed on the radio. Socially, it’s a significant topic, as many users are unaware of what AI is and its functions. This underscores the...
master thesis 2023
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Nijsse, Paul (author)
Myeloproliferative Neoplasms (MPNs) are a group of bone marrow diseases with potentially lethal cardio-vascular complications. Two sub-diseases of MPN are Essential Thrombocytosis (ET) and Polycythemia Vera (PV), which are recognised by an abnormal blood count of respectively thrombocytes and red blood cells.<br/><br/>If an MPN is treated...
master thesis 2023
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Patalay, Prathamesh (author)
PROBLEM<br/>Foundation Models are emerging as a new paradigm in AI research &amp;<br/>commercialisation. While this opens up possibilities for radically innovative<br/>solutions and significant value creation, startups are challenged with finding<br/>unique &amp; differentiated ways to leverage the technology, while simultaneously<br/>mitigating...
master thesis 2023
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de Vries, Denise (author)
In this study, the aim is to find out how Erasmus MC can properly prepare for the AI Act. An iterative design approach was utilized to explore what AI project members may experience during this regulatory process. Several factors have emerged during this experimental study, including the allocation of responsibility, the importance of education...
master thesis 2023
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Oudhof, Tamay (author)
Society currently faces many complex and significant challenges, dilemmas that lack straightforward solutions and are deeply interconnected. These problems demand a transformative approach that involves reevaluating people’s values, beliefs, attitudes, and behavior. Amidst these ongoing challenges, there is a collective hint of pessimism...
master thesis 2023
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Frassini, Emanuele (author)
In our research, we have made a significant advancement in predicting the clinical outcome of high-risk non-muscle invasive bladder cancer (HR-NMIBC) by combining clinicopathological data with image-related features. This integrated approach has shown remarkable improvements in the accuracy of artificial intelligence techniques for outcome...
master thesis 2023
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LIU, Xinjie (author)
Many autonomous navigation tasks require mobile robots to operate in dynamic environments involving interactions between agents. Developing interaction-aware motion planning algorithms that enable safe and intelligent interactions remains challenging. Dynamic game theory renders a powerful mathematical framework to model these interactions...
master thesis 2023
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Spengler, Daniel (author)
The study of tumor microenvironments (TMEs) and immune cell composition in cancer, a disease characterized by uncontrolled growth and spread of tumor cells, has become increasingly important for understanding tumor progression and patient outcomes. Tools such as the TME-Analyzer enable this kind of research, but their manual workflows highlight...
master thesis 2023
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Knoppert, Sammie (author)
In the last decades, climate change is causing our environment to change rapidly, unprecedented in recent history. Civil engineering structures are dependent on the deteriorating environment they are situated in. Changes can cause an increase in loading due to, for example, extreme weather events or alter the structure’s resistance by, for...
master thesis 2023
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Santana, Ricardo (author)
Low-altitude, high-density air traffic is expected to grow in the coming decades with several companies being certified to initiate urban operations for both freight and passenger transport. However, traditional human-centered Air Traffic Control operations (ATCos) are not scalable to handle the increased demand to maintain safe separation...
master thesis 2023
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Bouman, Nikki (author)
Collaboration in teams composed of both humans and automations has an interdependent nature, which demands calibrated trust among all the teammembers. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automations occasionally fail to do their job, which leads to a...
master thesis 2022
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Geiser, Fabian (author)
Roads are currently governed by relatively static rules communicated via road signs, road surface markings and navigation apps. However they could also be dynamic, allowing road space to be allocated for a multitude of activities over time. The Code the Streets project envisions a digital system for managing urban mobility in Amsterdam that...
master thesis 2022
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Kamphof, Jorick (author)
Growth in air traffic demand and the increasing importance of reducing emissions cause airports to consider the improvement of their ground surface movement operations in terms of efficiency and environmental impact. Over the past years, engine-off taxiing techniques have been considered to reduce the environmental impact of airport taxiing...
master thesis 2022
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Joosten, Karlijn (author)
Research on the possibilities to use Artificial Intelligence (AI) at the Operating Room (OR) is rising, although there is no implementation yet. AI-assisted monitoring could provide support to anesthesia assistants in their task of patient monitoring, by making predictions on the future occurrence of deviating events in the vital parameter...
master thesis 2022
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Willemse, Jeroen (author)
Introduction Breast cancer is the most frequently diagnosed type of cancer in women in 2020. Treatment and prognosis of breast cancer is highly dependent on early and accurate diagnosis. In recent years, many studies have evaluated the use of artificial intelligence for the detection of breast cancer in mammographic images. Another imaging...
master thesis 2021
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Nagtzaam, Ruud (author)
This report describes a graduation project for the MSc program Strategic Product Design. The client in this project is the Erasmus MC in the Netherlands and commissions this project incorporation with the Critical Alarms Lab (CAL) of the TU Delft. The Erasmus MC and CAL want to improve the experience of the Intensive Care Unit (ICU) both for...
master thesis 2021
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Song, Chenlu (author)
The applications of artificial intelligence (AI) are significant on a social and economic scale, and they can offer businesses great value and opportunities. However, because of AI's varied application areas, its inherent complexity, and the new organizational requirements that result from AI adoption, companies encounter pitfalls when deploying...
master thesis 2021
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Patil, Sandeep (author)
Lane detection represents a fundamental task for automated/autonomous vehicles. Current lane detection methods do not provide the versatility of real-time performance, robustness,and accuracy required for real-world scenarios. The reasons include lack of computing power while being portable and inability to observe the continuity and structure...
master thesis 2021
Collection: education
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