Searched for: subject%3A%22detection%22
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van Veldhuijzen, Emiel (author)
Advancements in radar technology such as phased array antennas, digital beamforming, and adaptable waveform generation have led to the flexibility in controlling radar resources such as scan time, beamwidth and bandwidth during a radar mission. This new flexibility has led to a new research topic, radar resource management. Radar resource...
master thesis 2023
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Bontan, Luc (author)
Robots are increasingly deployed in various locations to automate tasks, including in barns. However, in barns cows can obstruct the sensors such as LiDAR or camera, leading to a lack of environmental information. As a result, the robot’s localization system only relies on odometry at those moments, introducing additional uncertainty to 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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Timmerman, Gerben (author)
This thesis offers a comprehensive exploration of log-based anomaly detection within the domain of cybersecurity incident response. The research describes a different approach and explores relevant log features for language model training, experimentation with different language models and training methodologies, and the investigation of the...
master thesis 2023
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Borren, Noor (author)
Introduction: Trauma-induced rib fractures are a common injury, affecting millions of individuals globally each year. Although anteroposterior thoracic radiographs are part of the standard posttraumatic screening, the most sensitive modality, and therefore golden standard for diagnosing rib fractures, is computed tomography (CT). Still, between...
master thesis 2023
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Middelhoek, Femke (author)
Abstract—The MOSES project develops an autonomous vessel equipped with an autonomous crane to optimise the supply chain of shortsea shipping. This study focusses on monitoring the safety of the port environment based on stereo camera data generated by sensors attached to the crane at 15m altitude, oriented 45° downward. The objective is to...
master thesis 2023
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Sennema, Erik (author)
Intrusion detection systems (IDSs) are essential for protecting computer systems and networks from malicious attacks. However, IDSs face challenges in dealing with dynamic and imbalanced data, as well as limited label availability. In this thesis, we propose a novel elastic gradient boosting decision tree algorithm, namely Elastic CatBoost...
master thesis 2023
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de Ruijter, Pim (author)
The detection of anomalous behaviour is fundamental to component health analysis techniques. However, detecting anomalies is a difficult and time consuming task if their form, location, and frequency are unknown. This research introduces an innovative unsupervised predictive maintenance pipeline that requires minimal domain knowledge and time to...
master thesis 2023
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
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van Geerenstein, Mathijs (author)
3D object detection models that exploit both LiDAR and camera sensor features are top performers in large-scale autonomous driving benchmarks. A transformer is a popular network architecture used for this task, in which so-called object queries act as candidate objects. Initializing these object queries based on current sensor inputs leads to...
master thesis 2023
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Polak, Max (author)
Incipient slip detection plays an important role in human and robotic grasping. With the growing use of deep learning in vision-based tactile sensing, the black-box nature of these deep neural networks (DNNs) makes it difficult to analyze, debug, and validate their behavior and learned patterns. To fill this gap, eXplainable AI (XAI) methods...
master thesis 2023
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Lieuw A Soe, Devin (author)
This paper studies the effect of integrating color equivariance and invariance into object detection, in particular into the Faster R-CNN architecture. To better understand the influence of this integration, we introduce modifications to the traditional convolutional layers of the standard Faster R-CNN model. By employing group theory in a...
master thesis 2023
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Mendoza Silva, Santiago (author)
Bacterial identification is crucial for addressing infectious diseases and enabling effective treatment strategies. Conventional bacteria identification methods like MALDI-TOF, while efficient, lack the capability for screening the effectiveness of antibiotics. On the other hand, existing antimicrobial resistance (AMR) tests, despite being...
master thesis 2023
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Nikkels, Lucile (author)
Robots in classroom settings can help teachers with providing personalised attention to children's health and development. As part of this personalisation, robots should store and use (verbal or multi-modal) information about the children they interact with. One aspect that has been unexplored in existing literature is the detection of memorable...
master thesis 2023
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Lyu, Jialin (author)
According to the World Health Organization, approximately 15 million neonates are born prematurely each year, which is more than 1 in 10 newborns. Premature birth disrupts the normal development of the neonate in the womb, which can result in various complications and health issues, necessitating continuous monitoring of vital signs to assess...
master thesis 2023
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Spruit, John (author)
With recent advancements in autonomous driving, the demand for precise and accurate perception systems has increased. Perception of the vehicle’s environment is a key element in ensuring safe operation. Due to their wide aperture angle and low cost, ultrasonic sensors are a viable option for achieving close-range 360° perception around the...
master thesis 2023
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Wang, Beichen (author)
Community detection and graph partitioning have seamlessly integrated themselves into the fabric of network science by providing valuable insights into the structure, function, and dynamics of complex networks. In this thesis, a comprehensive performance comparison of the recently introduced Linear Clustering Process (LCP) is carried out against...
master thesis 2023
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Freeman, Alexander (author)
Inductive logic programming is a technique that generates logic programs which keep to a given specification using a background knowledge. We propose a new task in the field of pro- gram synthesis called Time-gated Partition-selection Inductive Logic Programming, consisting of splitting the background knowledge into partitions and selecting only...
master thesis 2023
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Joyandeh, Arian (author)
With the rise of zero-shot synthetic image generation models, such as Stability.ai's Stable Diffusion, OpenAI's DALLE or Google's Imagen, the need for powerful tools to detect synthetic generated images has never been higher. In this thesis we contribute to this goal by considering wavelet-based approaches for synthetic image detection.<br/><br/...
master thesis 2023
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Janakiraman, Sathya (author)
Having a reliable flight envelope is of paramount importance for safe flight operations. Parameters that determine the safe flight envelope are airspeed , angle of attack, angle of sideslip, Euler angle and load factor. These parameters need to be fault redundant, In order to address this challenge, an unscented Kalman estimation routine is...
master thesis 2023
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