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Koshy, Anitha (author)
Autonomous navigation is a critical aspect of robotic systems, particularly in hostile and uncertain environments, and robot localization is central to navigation. Robot localization establishes its position within its surroundings. This thesis addresses the challenge of robot localization, focusing on a lunar-like environment with constraints...
master thesis 2024
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Schalkers, M.A. (author), Möller, M. (author)
In recent years, quantum Boltzmann methods have gained more and more interest as they might provide a viable path toward solving fluid dynamics problems on quantum computers once this emerging compute technology has matured and fault-tolerant many-qubit systems become available. The major challenge in developing a start-to-end quantum...
journal article 2024
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Gu, Lipeng (author), Yan, Xuefeng (author), Nan, L. (author), Zhu, Dingkun (author), Chen, Honghua (author), Wang, Weiming (author), Wei, Mingqiang (author)
The conventional wisdom in point cloud analysis predominantly explores 3D geometries. It is often achieved through the introduction of intricate learnable geometric extractors in the encoder or by deepening networks with repeated blocks. However, these methods contain a significant number of learnable parameters, resulting in substantial...
journal article 2024
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Zhang, Tianming (author), Yan, Gaowei (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)
The industrially collected process data usually exhibit non-Gaussian and multi-mode characteristics. Due to sensor failures, irregular disturbances, and transmission problems, there are unavoidable outliers that make the data exhibit heavy-tailed characteristics. To this end, a variational auto-encoder regression method based on the mixture...
journal article 2024
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Jian, Yuhang (author)
Voice activity detection (VAD) is the prevailing approach to extracting meaningful speech information from the pervasive noise found in the physical environment. Presently, deep neural networks (DNN) are widely employed as the classifier component in Voice Activity Detection (VAD) systems. However, conventional deep neural networks, like fully...
master thesis 2023
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Tatabitovska, Ana (author)
Maximum Satisfiability (MaxSAT) is a known problem within the optimization field which has led many different solving approaches to be devised in the last several decades. From Linear Search to unsatisfiable core-based solvers, many MaxSAT algorithms rely on cardinality constraints to express how many soft clauses can be violated at most....
master thesis 2023
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Dong, Yingzhou (author)
Cardiovascular diseases (CVDs) are the top cause of death worldwide, and their diagnosis can be quickly and painlessly achieved through Electrocardiogram (ECG). The diagnosis of electrocardiogram has gradually evolved from manual diagnosis by doctors to one that can be realized using Artificial Intelligence (AI). Early AI still required manual...
master thesis 2023
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ZHUANG, XUANYU (author)
In the task of music style transfer, the symbolic music representation based on Musical Instrument Digital Interface (MIDI) files has always been a popular research medium. By using such representation, some mature models for image style transfer can also be applied to this scenario, such as Cycle-consistent Generative Adversarial Networks ...
master thesis 2023
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Reichling, C Z (author)
This thesis is on the subject of phylogenetic networks. These are schematic<br/>visualisations used mainly to investigate the evolutionary history of species,<br/>but which can be used for any set of distinguishable elements which have diverged from a common ancestor through some evolutionary process. The research specifically focuses on a way...
master thesis 2023
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Udilă, Andrei (author)
This paper presents a comprehensive evaluation and comparison of encoding methods for categorical data in the context of machine learning. The study focuses on five popular encoding techniques: one-hot, ordinal, target, catboost, and count encoders. These methods are evaluated using linear models, decision trees, and support vector machines ...
bachelor thesis 2023
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Dijksman, Calvin (author)
The distribution of multiple entangled pairs plays a vital role in various applications, such as quantum metrology, blind quantum computing, quantum key distribution, and quantum teleportation. While qubit-based protocols exist, they are often limited by short coherence times in quantum memories and the need for individual pair generation,...
master thesis 2023
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Meng, X. (author), Ganapathy, S. (author), van Roemburg, Lars (author), Post, M.G. (author), Brinks, D. (author)
Voltage imaging using genetically encoded voltage indicators (GEVIs) has taken the field of neuroscience by storm in the past decade. Its ability to create subcellular and network level readouts of electrical dynamics depends critically on the kinetics of the response to voltage of the indicator used. Engineered microbial rhodopsins form a...
review 2023
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Tan, Yicong (author), Mody, P. (author), van der Valk, Viktor (author), Staring, M. (author), van Gemert, J.C. (author)
Literature on medical imaging segmentation claims that hybrid UNet models containing both Transformer and convolutional blocks perform better than purely convolutional UNet models. This recently touted success of hybrid Transformers warrants an investigation into which of its components contribute to its performance. Also, previous work has a...
conference paper 2023
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Narayanan, Shyam (author), Cartiglia, Matteo (author), Rubino, Arianna (author), Lego, Charles (author), Frenkel, C. (author), Indiveri, Giacomo (author)
Low-power event-based analog front-ends (AFE) are a crucial component required to build efficient end-to-end neuromorphic processing systems for edge computing. Although several neuromorphic chips have been developed for implementing spiking neural networks (SNNs) and solving a wide range of sensory processing tasks, there are only a few general...
conference paper 2023
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Schouhamer Immink, Kees A. (author), Weber, J.H. (author)
We present and analyze a new construction of bipolar balanced codes where each codeword contains equally many -1's and +1's. The new code is minimally modified as the number of symbol changes made to the source word for translating it into a balanced codeword is as small as possible. The balanced codes feature low redundancy and time...
journal article 2023
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Teh, Irvin (author), Shelley, David (author), Boyle, J.H. (author), Zhou, Fenglei (author), Poenar, Ana Maria (author), Sharrack, Noor (author), Foster, Richard J. (author), Yuldasheva, Nadira Y. (author), Parker, Geoff J.M. (author)
Purpose: Tensor-valued diffusion encoding can probe more specific features of tissue microstructure than what is available by conventional diffusion weighting. In this work, we investigate the technical feasibility of tensor-valued diffusion encoding at high b-values with q-space trajectory imaging (QTI) analysis, in the human heart in vivo....
journal article 2023
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Nipius, Leonie (author)
Phylogenetic networks generalize evolutionary trees and are commonly used to represent evolutionary relationships between species that undergo reticulate evolutionary processes such as hybridization, recombination and lateral gene transfer. In this thesis all quarnets, networks on four species, of a network are assumed to be known. We prove that...
master thesis 2022
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Bruijns, Ron (author)
Fluvial flooding poses a major threat to mankind and annually leads to major economic losses with many casualties worldwide. The consequences of this can be mitigated when accurate and rapid predictions are available when the water will arrive at which location. Current numerical simulations take a significant amount of time due to their...
master thesis 2022
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Schoenmaker, Melle (author)
This paper presents the use of a heuristic solution method to improve the process of creating a conjunctive normal form (CNF) encoding of and finding optimal solutions to instances of the resource-constrained project scheduling problem with logical constraints (RCPSP-Log).<br/><br/>The RCPSP is an optimisation problem consisting of a set of...
bachelor thesis 2022
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Colijn, Rogier (author)
With the maturization of the cubesat market, the requirements for finer control over satellite attitude drives the development of higher performance Attitude Determination and Control Systems. (ADCS)<br/><br/>The ADCS uses reaction wheels as an actuation method, which in turn use brushless DC (BLDC) motors to rotate a heavy rotor wheel. BLDC...
master thesis 2022
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