Searched for: subject%3A%22Artificial%255C%2BIntelligence%22
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te Nijenhuis, Frank (author)
The efficacy of endovascular therapy in large vessel occlusion (LVO) of the anterior circulation is dependent to a high degree on the selection of patients who are likely to benefit from this procedure. To this end, functional outcome prediction based on clinical parameters is an active area of research. In the preoperative screening of LVO...
master thesis 2022
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Pasqualetto Cassinis, L. (author)
Activities in outer space have entered a new era of growth, fostering human development and improving key Earth-based applications such as remote sensing, navigation, and telecommunication. The recent creation of SpaceX's Starlink constellation as well as the steep increase in CubeSat launches are expected to revolutionize the way we use space...
doctoral thesis 2022
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Pavlidou, Stella (author)
In an urban context that needs to be constantly adapted to global crises, population movements, climate change and economic crises, designers and engineers strive to configure solutions that respond to multiple criteria. Within this framework, the concept of generative design is gaining more and more ground in the construction field, allowing...
master thesis 2022
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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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Jol, Cees (author)
Strawberries have a short shelf-life time and thus need to be harvested at the right time to reduce waste. To this end, information about quality attributes is useful. Recently, many computer vision methods have been proposed. Most literature analyzes postharvest, which means that strawberries can only be analyzed after harvesting. As a result,...
master thesis 2022
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Drozdowski, Tomasz (author)
Artificial Intelligence technology offers computational, decision-making, and optimizing abilities that surpass every previously established traditional computation method. By being able to navigate across large amounts of data, the realized solutions learn on their own and provide results that would be unattainable with other ways. The complex...
master thesis 2022
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van der Waa, J.S. (author)
As a society, we have come to notice the influence and impact Artificially Intelligent (AI) agents have on the way we live our lives. For these AI agents to support us both effectively and responsibly, we require an understanding on how they make decisions and what the consequences are of these decisions. The research _field of Explainable...
doctoral thesis 2022
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Gudi, A.A. (author)
Machines that interact with humans can do so better if they can also visually understand us, but they have limited resources to do so. The main topic of this dissertation is contrasting the use of resources by machine vision systems against the accuracy obtained by them. This thesis focuses on reducing the need for data, memory, and computation...
doctoral thesis 2022
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Di Mascio, S. (author)
The usage of terrestrial processors in space applications is not straightforward, as processors in space face unique challenges due to the effects of the space environment, like ionizing radiation causing Single Event Effects (SEEs). In the nineties, the European Space Agency chose the Scalable Processor ARChitecture (SPARC) Instruction Set...
doctoral 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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Martins Martinho Bessa, A.C. (author)
As Artificial Intelligence (AI) becomes increasingly important in modern society, there is a pressing need to address the ethical issues associated with these technologies. AI Ethics is a necessary endeavor to capitalize on the benefits of AI while minimizing its risks. However, it faces important challenges related to normative urgency, multi...
doctoral thesis 2022
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Thiessen, Sven (author)
The uprise of the Internet of Things (IoT) has been a hot topic for several years. While many see these devices and think they bring ease to their lives, it is far from reality. Researchers found many privacy and security problems within these devices in the last years. The popularity of these devices causes many users to bring a device into...
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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Mâachou, Mohammed (author)
Achieving human-like action planning requires profound reasoning and context-awareness capabilities. It is especially true for autonomous robotic mobile manipulation in dynamic environments. In the case of component failure, the autonomous robotic system requires reliable adaptation capabilities combined with a consistent understanding of the...
master thesis 2022
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Khan, Arghem (author)
Artificial Intelligence (AI) and Machine learning (ML) applications are being widely used to solve different problems in different sectors. These applications have enabled the human-effort and involvement to be very low. The AI/ML systems<br/>make their own predictions and do not require a great deal of human help. However, over the last few...
bachelor thesis 2022
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de Haro Pizarroso, Gabriel (author)
Reinforcement Learning is being increasingly applied to flight control tasks, with the objective of developing truly autonomous flying vehicles able to traverse highly variable environments and adapt to unknown situations or possible failures. However, the development of these increasingly complex models and algorithms further reduces our...
master thesis 2022
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Marbot, Tanguy (author)
The spread of AI techniques has lead to its presence in critical situations, with increasing performance that can compromise on its understanding. Users with no prior AI knowledge rely on these techniques such as doctors or recruiters with a need for transparency and comprehensibility of the mechanisms. The advent of Explainable Artificial...
bachelor thesis 2022
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Oedayrajsingh Varma, Vanisha (author)
Many artificial intelligence (AI) systems are built using black-box machine learning (ML) algorithms. The lack of transparency and interpretability reduces their trustworthiness. In recent years, research into explainable AI (XAI) has increased. These systems are designed to tackle common ML issues such as trust, accountability, and transparency...
bachelor thesis 2022
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Lee Kaijen, Kaijen (author)
The significant progress of Artificial Intelligence (AI) and Machine Learning (ML) techniques such as Deep Learning (DL) has seen success in their adoption in resolving a variety of problems. However, this success has been accompanied by increasing model complexity resulting in a lack of transparency and trustworthiness. Explainable Artificial...
bachelor thesis 2022
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Rademaker, Justin (author)
As technology advances, automated systems become more autonomous which leads to a higher interdependence between machine and human. Much research has been done about trust between humans and trust of humans regarding machines. An interesting question that remains is how the behavior of an agent influences human trustworthiness in a human-agent...
bachelor thesis 2022
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