Searched for: contributor%3A%22Zhang%2C+X.+%28mentor%29%22
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Hsu, Hsing-Li (author)
Reset controllers are acknowledged for their potential to enhance performance, like speed and precision in precision motion industries. Existing literature primarily utilizes the classical zero-crossing law in these controllers. This study introduces a novel reset component, termed “fixed-phase reset control”, which employs an innovative reset...
master thesis 2023
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Liu, Yixuan (author)
Linear time-invariant (LTI) controllers suffer from inherent limitations as the waterbed effect and Bode's gain-phase relationship. Reset control, a nonlinear strategy involving the reset of linear controllers, offers a potential solution to overcome these traditional LTI limitations. Based on the describing function analysis, the reset...
master thesis 2023
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Lin, Zhi-Yi (author)
Human 3D kinematics estimation involves measuring joint angles and body segment scales to quantify and analyze the mechanics of human movements. It has applications in areas such as injury prevention, disease identification, and sports science. Conventional marker-based motion capture methods are expensive both in terms of financial investment...
master thesis 2023
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Vărzaru, REBECA (author)
Code generation is becoming one of the most important tools in an Integrated Development Environment (IDE) for programmers, be they novices or experts. It allows them to produce code faster, avoid typos and other mistakes, be more efficient and easily turn ideas into code. As such, there are many in-IDE code generation models to choose from,...
bachelor thesis 2023
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Mulder, Rick (author)
Using AI to support programming has recently gained a lot of popularity. Researchers have been developing tools to support programming activities using GPT models such as ChatGPT and Codex In this paper, we present the most common pro-gramming activities that these models can support. We show that they have a varying range of success<br/>across...
bachelor thesis 2023
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Neagu, Alexandra (author)
In recent years, significant progress has been made in the field of natural language processing (NLP) through the development of large language models (LLMs) like BERT and ChatGPT. These models have showcased remarkable abilities across a range of NLP tasks. However, effectively harnessing their potential requires meticulous prompt engineering...
bachelor thesis 2023
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Cambaz, Doga (author)
The recent emergence of AI-driven code generation models can potentially transform programming education. To pinpoint the current state of research on using AI code generators to support learning and teaching programming, we conducted a systematic literature review with 21 papers published since 2018. The review presents the teaching and...
bachelor thesis 2023
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Zheng, Quan (author)
Image reconstruction from neural activation data is a field that has been growing in popularity with developments such as neuralink in the brain-machine interface space. To make better decisions when collecting data for this purpose, it is important to know what qualities to optimize for. The present paper investigates the relation between...
bachelor thesis 2023
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Smolin, Nikita (author)
This study aims to investigate the impact of various denoising algorithms on the quality of visual stimulus reconstructions based on functional magnetic resonance imaging (fMRI) data. While fMRI provides a valuable, noninvasive method for assessing brain activity, the reliability of this data can be impaired by multiple noise types, including...
bachelor thesis 2023
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Murgoci, Vlad (author)
This study investigates the relationship between deep learning models and the human brain, specifically focusing on the prediction of brain activity in response to static visual stimuli using functional magnetic resonance imaging (fMRI). By leveraging intermediate outputs of pre-trained convolutional neural networks (CNNs) with feature-weighted...
bachelor thesis 2023
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Mercier, Arthur (author)
Reconstructing seen images from functional magnetic resonance imaging (fMRI) brain scans has been a growing topic of interest in the field of neuroscience, fostered by innovation in machine learning and AI. This paper investigates the possible presence of personal features allowing the identification of subjects from their reconstructed images....
bachelor thesis 2023
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Walter, Thomas (author)
This paper explores using synthetic noise superimposed on fMRI data to selectively impact the performance of the Generic Object Decoding (GOD) model developed at Kamitani Lab. The GOD model predicts image categories that subjects viewed, based on their recorded fMRI brain activity. To evaluate how selective the noise can be in impacting...
bachelor thesis 2023
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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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Zeng, Jinchen (author)
Surgical workflow analysis has gained more importance in operating rooms, which could take responsibility for the working condition, the safety of both patients and surgical personnel, as well as the working efficiency. Focusing on the optimization of the workflow, a set of cameras is installed in the Catheterization Laboratory in Reinier de...
master thesis 2022
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Kargul, Radek (author)
Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial...
bachelor thesis 2022
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Kārkliņš, Andrejs (author)
The aim of this research is to discuss if it is possible or feasible enough to detect Mind-wandering of individuals using their hand and body movements from video recordings. The basis for this research is “Mementos”[9] data set, containing over 2000 recordings of people watching music videos. During experiment videos from data set were used to...
bachelor thesis 2022
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Symeonidis, Iasonas (author)
Mind-wandering happens when one's current train of thought, related to a specific task, is interrupted, due to internal disconnected thoughts. This phenomenon is highly subjective, and its detection is really important due to the internal understanding of the human mind that can be obtained. Several methods have been used in order to detect mind...
bachelor thesis 2022
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van Dijk, Max (author)
Mind wandering is a phenomenon that is used to describe moments where a person's attention appears to shift away to something that is not related to the primary task, which can have a negative influence on the task performance. In this research, the aim is to create a viable algorithm that can automatically detect mind wandering based on eye...
bachelor thesis 2022
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Demi, Arbër (author)
Mind wandering occurs when a person’s attention unintentionally shifts away from their current thought or task. Being able to automatically detect cases of mind wandering can assist applications with attention retention, and help people with maintaining focus. Many methods have been tested to deal with mind-wandering detection, but they are...
bachelor thesis 2022
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Deng, Z. (author)
master thesis 2015
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