Searched for: contributor%3A%22Lofi%2C+C.+%28graduation+committee%29%22
(1 - 20 of 39)

Pages

List view
Grid view
document
ter Horst, Ynze (author)
master thesis 2023
document
Nieuwlaar, Erwin (author)
The European Commission is developing a European Digital Identity (EDI), which will enable a trustworthy digital proof of identity for its citizens. We present a proof of identity in combination with cryptographic evidence of the natural person being authorized to act on behalf of a legal entity. Our study achieves this by connecting users of...
master thesis 2023
document
Nguyen, Phu (author)
Tactile Internet opens many new possibilities as it solves one of the critical problems in the modern-day Internet, namely latency. Remote operations are possible that are deemed too dangerous with current technologies. Interacting directly with the remote environment without being physically present will be a life-changing experience. Before...
master thesis 2023
document
Kilkiş, San (author)
Present Knowledge Based Engineering (KBE) applications do not facilitate collaborative processes due to lack of process formalization and orchestration capabilities, leading to ad-hoc solutions. This increases application development time, reduces re-usability, and increases the cognitive burden of users leading to decreased design efficiency....
master thesis 2022
document
Quist, Joris (author)
Binary Neural Networks (BNNs) are compact and efficient by using binary weights instead of real-valued weights. Current BNNs use latent real-valued weights during training, where several training hyper-parameters are inherited from real-valued networks. The interpretation of several of these hyperparameters is based on the magnitude of the real...
master thesis 2022
document
Chuang, Ching Chi (author)
Dependency management is an important task in software maintenance. However, identifying and removing unused dependencies takes a lot of effort from developers as existing tools may discover many false positives which are challenging to distinguish. This paper proposes a decision framework to improve unused dependency detection. It is applied to...
master thesis 2022
document
Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
document
van der Toorn, Jules (author)
Multimodal imaging is used by conservators and scientists to study the composition of paintings. To aid the combined analysis of these scans, such images must first be aligned. Rather than proposing a new domain-specific descriptor, we explore and evaluate how existing feature descriptors from related fields can improve the performance of...
bachelor thesis 2022
document
Spasov, Mihail (author)
Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...
bachelor thesis 2022
document
Quin, Tristan (author)
This research investigates the efficacy and reliability of geometric matching for the specific case of aligning non-exact copies of artistic works with the original from which they were derived. The purpose of which is to provide a foundation for comparison in any further analysis conducted by conservators and art historians. An overview of the...
bachelor thesis 2022
document
Groen, Vincent (author)
The current state-of-the-art image alignment techniques and their input parameters are often unintuitive to those without the required background knowledge.<br/>This work aims to provide users with a graphical user interface through which they can intuitively influence the parameters and results of the algorithm by excluding certain areas from...
bachelor thesis 2022
document
Barantiev, Dimitar (author)
There is a growing need for touch-free interaction with public utilities such as coffeemakers and vending machines that will help prevent the spread of diseases such as COVID-19. One solution is the integration of embedded gesture recognition systems relying on ambient light. However, existing work so far is found to be inefficient in terms of...
bachelor thesis 2022
document
van de Water, Stijn (author)
This paper describes the design of an adaptable, low-cost, and energy efficient gesture detection system. The system leverages the ambient light available in the environment to perform Visible Light Sensing (VLS) using powerful Convolutional Neural Networks. The focus lies on designing a system that is capable of robust gesture detection in any...
bachelor thesis 2022
document
Lipski, Matthew (author)
Touching physical buttons to interact with public electronic devices has raised some concerns regrading disease transmission following the COVID-19 pandemic. The use of hand gestures as a touchless replacement sounds appealing, but comes with the challenge of recognizing which gesture is being performed by the user, with only the processing...
bachelor thesis 2022
document
Hizli, Beyza (author)
Lack of physical activity is one of the main risk factors for the development of cardiovascular diseases. Although most people are aware of the risks of this poor health behavior, they have a hard time improving this behavior. Goal-setting is an effective step in the process of changing behavior. It can motivate a person and help them to remain...
master thesis 2022
document
Huang, Wenxuan (author)
Supervised machine learning is a growing assistive framework for professional decision-making. Yet bias that causes unfair discrimination has already been presented in the datasets. This research proposes a method to reduce model unfairness during the machine learning training process without altering the sample value or the prediction value....
master thesis 2022
document
Basu, Debadeep (author)
This work applies the theory of group equivariance to the domain of video action recognition replacing standard 3Dconvolutions with group convolutions which are equivariant to temporal direction, and multiples of 90-degree spatial rotations. We propose a temporal direction symmetry group T2 and extend the standard planar rotations group to three...
master thesis 2021
document
Meuleman, Mathias (author)
The field of Optical Music Recognition has been making progress in the past decades to automate the process of transcribing music scores into computer-readable formats, but its results are still far from being generally applicable. Some research effort has focused on incorporating crowdsourcing techniques into this field to check and correct...
master thesis 2021
document
Yang, Wei-Tse (author)
We present the first deep learning approach to estimate the human skeletal system of the musculoskeletal model from monocular video. The current practice of musculoskeletal modeling relies on a motion capture system and OpenSim. The data is recorded in a restricted environment, and OpenSim workflow for musculoskeletal modeling is costly. Our...
master thesis 2021
document
Singh, Akash (author)
Single-cell multi-modal omics promises to open new doors in bioinformatics by measuring different aspects of cells, thus offering multiple perspectives on the underlying biological phenomenon. Although simultaneous multi-modal measurement protocols do exist, their inherent technical limitations necessitate focus on single modality measurements....
master thesis 2021
Searched for: contributor%3A%22Lofi%2C+C.+%28graduation+committee%29%22
(1 - 20 of 39)

Pages

List view
Grid view