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de Jong, Martijn (author)To fully optimize the synergy between human operators and machines in modern day’s highly automated vehicle control tasks, a real-time quantitative feedback of skill level is required. Direct feedback of skill level could be used to enable scalable levels of autonomy of the controlled system, or to provide a warning when sudden skill level...master thesis 2021
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Coenen, Robert (author)Improvement in the SHM of composite materials requires an enhanced understanding of the damage accumulation processes and helps in the way towards lighter, more optimized, and more sustainable aerospace structures. The Digital Twin concept has the potential to address this problem and may revolutionize the designing, certifying, maintaining, and...master thesis 2021
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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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Slooff, Tom (author)One of the most potent attacks against cryptographic implementations nowadays is side-channel attacks. Side-channel attacks use unintended leakages in the implementation, for example, electromagnetic radiation, to retrieve the secret key. Over time side-channel attacks have become more powerful, and recently the community has shifted towards...master thesis 2021
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Yang, Ximei (author)Nowadays, radar has been applied to human activity classification in the aging-in-place for health monitoring. The complex-valued neural networks (CVNNs) have been only minimally explored, especially on complex-valued radar signals, and there is an outstanding question on whether CVNNs can contribute to improving classification performance. This...master thesis 2021
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Verkerk, Gertjan (author)Despite the increasing amount of automation in manual control tasks, such as driving a car or piloting an aircraft, the human ability to adapt to unexpected events still makes us an essential part of the control loop. Before we can remove the human completely, a better understanding of this unique characteristic is necessary so that we can apply...master thesis 2021
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Lau, Chy (author)Stereo matching, the process of inferring depth maps from stereo images, is one of the most heavily investigated topics in computer vision. It is part of the first module of navigation systems of planetary rovers, e.g., NASA’s Mars Exploration Rover (MER) missions, NASA’s Mars Science Laboratory (MSL) mission, and ESA’s ExoMars mission. Many...master thesis 2021
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Izarin, Milan (author)Recently, many advancements have been made in accelerated MRI reconstruction with the use of neural networks. Such deep learning methods learn a suitable MRI prior distribution from large sets of training data. For MRI images acquired with an uncommon scanning sequence, large datasets required for training are not available. Additionally, deep...master thesis 2021
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van Tilburg, Floris (author)Suction based robotic actuators have potential for the bin-picking industry, but are currently not usable due the needed speed, accuracy and ability to handle novel and adversarial objects. An evaluation of the state of the art grasp pipeline developed by Mahler et al. [1] for detecting grasps on novel objects lead us to split the problem of...master thesis 2021
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van der Laan, Niek (author)Finding defects in proposed changes is one of the biggest motivations and expected outcomes of code review, but does not result as often as expected in actually finding defects. Just-in-time (JIT) defect prediction focuses on predicting bug-introducing changes, which can help with efficient allocation of inspection time according to the defect...master thesis 2021
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Geenjaar, Eloy (author)Resting-state fMRI (rs-fMRI) has become an important imaging modality and is commonly used to study intrinsic brain networks. These networks can be obtained by decomposing rs-fMRI data into components, using independent component analysis (ICA). Recently, these ICA components have been used as inputs for neural networks to learn complex...master thesis 2021
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van der Kooij, Eva (author)Accurate short-term forecasts, also known as nowcasts, of heavy precipitation are desirable for creating early warning systems for extreme weather and its consequences, e.g. urban flooding. In this research, we explore the use of machine learning for short-term prediction of heavy summer rainfall showers in the Netherlands. We explore the use of...master thesis 2021
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Pancras, Kevin (author)The Recurrent Inference Machine (RIM) has been developed as an alternative to the clinically used Compressed Sensing (CS) algorithm, using Deep Learning (DL). A common issue with DL networks is the generalization of the network to features that have not been trained for. In this study we evaluate the robustness of the RIM to white matter lesions...master thesis 2021
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Verschuuren, Rolf (author)Methods for learning vector space representations of words have yielded spaces which contain semantic and syntactic regularities. These regularities mean that vector arithmetic operations in the latent space represent meaningful and interpretable relations between words. These word vectors have been so successful in capturing such relations, as...master thesis 2021
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Zhao, Xunyi (author)Dropout is one of the most popular regularization methods used in deep learning. The general form of dropout is to add random noise to the training process, limiting the complexity of the models and preventing overfitting. Evidence has shown that dropout can effectively reduce overfitting. This thesis project will show some results where dropout...master thesis 2021
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- Kloosterman, Frank (author) master thesis 2021
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Xue, Wenli (author)Osteoarthritis (OA) is a degenerative joint disease and imposes an increasing burden on individuals and public health systems. Most prevalent joints are the knee, hip and hands, including the wrist. In order to enable early treatment of wrist OA, an early-detection method of cartilage loss, a characteristic symptom of OA, is needed. , CT images...master thesis 2021
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Willemsen, Daniël (author)Multi-agent robotic systems could benefit from reinforcement learning algorithms that are able to learn behaviours in a small number trials, a property known as sample efficiency. This research investigates the use of learned world models to create more sample-efficient algorithms. We present a novel multi-agent model-based reinforcement...master thesis 2021
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Mulders, Maurits (author)A side-channel attack is performed by analyzing unwanted physical leakage to achieve a more effective attack on the cryptographic key. An attacker performs a profiled attack when he has a physical and identical copy of the target device, meaning the attacker is in full control of the target device. Therefore, these profiled attacks are known as...master thesis 2020
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Tomy, Abhishek (author)A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified by looking at the cues originating from vulnerable road users or their surroundings (hand signals, head orientation, posture, traffic signals, distance to curb, etc.). Taking all these cues...master thesis 2020