Searched for: subject%3A%22Attention%22
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Lee, Y. (author)
E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning...
doctoral thesis 2024
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Zhang, Liang (author), Li, Guang (author), Chen, Huang (author), Tang, Jingtian (author), Yang, Guanci (author), Yu, Mingbiao (author), Hu, Yong (author), Xu, Jun (author), Sun, J. (author)
Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However, the weak energy of AMT signals makes them susceptible to being overwhelmed by noise, leading to erroneous geophysical interpretations. In recent years, deep learning has been applied to AMT denoising and has shown better denoising performance compared to...
journal article 2024
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Voinea, Cristina (author), Marin, L. (author), Vică, Constantin (author)
In this paper we introduce the concept of attentional scaffolds and show the resemblance between social media platforms and slot machines, both functioning as hostile attentional scaffolds. The first section establishes the groundwork for the concept of attentional scaffolds and draws parallels to the mechanics of slot machines, to argue that...
journal article 2024
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Lin, Yi (author), Guo, Dongyue (author), Wu, Yuankai (author), Li, L. (author), Wu, Edmond Q. (author), Ge, Wenyi (author)
Improper fuel loading decision results in carrying excessive dead weight during flight operation, which will burden the airline operation cost and cause extra waste emission. Existing works mainly focused on the post-event fuel consumption based on flight trajectory. In this work, a novel deep learning model, called FCPNet, is proposed to...
journal article 2024
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Kashifi, M.T.K. (author)
Road traffic crash is a global tragedy that leads to economic loss, injury, and fatalities. Understanding the severity of a road crash at the early stages is vital to timely providing emergency medical services to crash victims. This study developed a crash emergency response management framework that requires basic crash information for...
journal article 2024
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van Osch, Millen (author)
Joint attention is the shared focus multiple people can have on the same object and it is subconsciously used by humans every day. The simple act of verbally or non-verbally pointing out an object to one another, is a form of joint attention. Its use facilitates human cooperation, such as when someone needs to hand over an object to another...
master thesis 2023
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Jiang, Haitao (author)
The technique of ultrasound-guided needle insertion is commonly employed in various clinical fields, including biopsy, anesthesia, brachytherapy, and ablation. However, the visibility of the needle in ultrasound (US) images remains a persistent challenge. To improve the guidance accuracy of needle insertion during interventions, it is crucial to...
master thesis 2023
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Naber, Titus (author)
master thesis 2023
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Mekkes, Erik (author)
Large Language Models of code have seen significant jumps in performance recently. However, these jumps tend to accompany a notable and perhaps concerning increase in scale and costs. We contribute an evaluation of prediction performance with respect to model size by assessing the layer-wise progression for language and user-defined elements in...
bachelor thesis 2023
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Keeler, Miranda (author)
We present an investigation into the relationship between the average depth of the first correct prediction and the performance of CodeGen. This was done on a dataset comprised of code files comprised of C++, Go, Java, Julia, Kotlin, and Python. The analysis involved investigating the model's predictions at different layers using a Tuned Lens,...
bachelor thesis 2023
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Kuo, Nadine (author)
The development of contemporary source code auto-completion tools have significantly boosted productivity and efficiency of developers. In 2021, the GPT-2-based Transformer CodeGPT was developed to support code completion and text-to-code generation. Similarly to most code models however, CodeGPT was trained on a limited set of widely-used...
bachelor thesis 2023
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Popescu, Popescu (author)
In recent years, deep learning techniques, particularly transformer models, have demonstrated remarkable advancements in the accuracy and efficiency of language models. These models provide the foundation for many natural language processing tasks, including code completion. The effectiveness of code completion models has been the subject of a...
bachelor thesis 2023
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Gielisse, A.S. (author)
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series of changes, inspired by the observation that convex upsampling as currently implemented performs...
master thesis 2023
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Ndubuisi, G.O. (author), Urom, Christian (author)
This paper examines the relationships among cryptocurrency environmental attention and clean cryptocurrencies prices using Time-Varying Parameter Vector Auto-Regression (TVP-VAR) and wavelets techniques. Results show strong connectedness among these variables, implying that the prices of clean cryptocurrencies are influenced by attention on...
journal article 2023
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Bombaerts, Gunter (author), Anderson, Joel (author), Dennis, Matthew James (author), Gerola, Alessio (author), Frank, Lily (author), Hannes, Tom (author), Hopster, Jeroen (author), Marin, L. (author), Spahn, Andreas (author)
The “attention economy” refers to the tech industry’s business model that treats human attention as a commodifiable resource. The libertarian critique of this model, dominant within tech and philosophical communities, claims that the persuasive technologies of the attention economy infringe on the individual user’s autonomy and therefore the...
journal article 2023
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de Pater, I.I. (author), Mitici, M.A. (author)
Most Remaining Useful Life (RUL) prognostics are obtained using supervised learning models trained with many labelled data samples (i.e., the true RUL is known). In aviation, however, aircraft systems are often preventively replaced before failure. There are thus very few labelled data samples available. We therefore propose a Long Short-Term...
journal article 2023
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Eisma, Y.B. (author), Bakay, A. (author), de Winter, J.C.F. (author)
Introduction<br/>In the 1950s and 1960s, John Senders carried out a number of influential experiments on the monitoring of multidegree-of-freedom systems. In these experiments, participants were tasked with detecting events (threshold crossings) for multiple dials, each presenting a signal with different bandwidth. Senders’ analyses showed a...
journal article 2023
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Hutton, James (author)
Jonna Vance and Preston Werner argue that humans’ mechanisms of perceptual attention tend to be sensitive to morally relevant properties. They dub this tendency “Attentional Moral Perception” (AMP) and argue that it can play all the explanatory roles that some theorists have hoped moral perception can play. In this article, I argue that,...
journal article 2023
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Cuentas-Hernandez, Sandra (author), Li, Xiaomeng (author), King, Mark J. (author), Oviedo-Trespalacios, O. (author)
Introduction: Driver distraction has been recognized for a long time as a significant road safety issue. It has been consistently reported that drivers spend considerable time engaged in activities that are secondary to the driving task. The temporary diversion of attention from safety-critical driving tasks has often been associated with...
journal article 2023
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Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)
Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...
journal article 2023
Searched for: subject%3A%22Attention%22
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