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Titlebook: Augmented Cognition; 18th International C Dylan D. Schmorrow,Cali M. Fidopiastis Conference proceedings 2024 The Editor(s) (if applicable)

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樓主: Dangle
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發(fā)表于 2025-3-25 04:57:37 | 只看該作者
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發(fā)表于 2025-3-25 11:01:28 | 只看該作者
https://doi.org/10.1007/978-3-658-19331-7a brief exploration of habit theory and habit creation. Subsequently, the level of engagement needed for specific cybersecurity behaviours is analysed. In addition, practical approaches to training design, as well as areas for future research are highlighted.
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發(fā)表于 2025-3-25 14:54:32 | 只看該作者
https://doi.org/10.1007/978-3-658-19331-7actor analysis revealed that trait mindfulness dimensions support a dual-factor framework: (a) Proactive factor comprised of Awareness, Describing and Non-Judging loaded; (b) Reactive factor comprised of Observing and Non-Reactivity. Structural modeling was applied to the highest loaded FFMQ dimensi
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發(fā)表于 2025-3-25 20:31:40 | 只看該作者
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發(fā)表于 2025-3-26 02:37:10 | 只看該作者
A Novel Loss Function Utilizing Wasserstein Distance to?Reduce Subject-Dependent Noise for?Generalizce is assigned to patterns in data that are common across all participants while decreasing the importance of patterns that result from subject-dependent noise. The performance of the proposed cost function is demonstrated through an autoencoder with a multi-class classifier attached to the latent s
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發(fā)表于 2025-3-26 08:17:06 | 只看該作者
Enhancing Eye-Tracking Performance Through Multi-task Learning Transformerts that this reconstruction sub-module is capable of enhancing the feature extraction ability of the encoder. Due to the sub-module being mounted as a sub-task under the main task and maintained through a multi-task learning framework, our model preserves the end-to-end training process of the origi
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發(fā)表于 2025-3-26 19:34:48 | 只看該作者
Small Languages and?Big Models: Using ML to?Generate Norwegian Language Social Media Content for?Trats, aiming to understand their experiences, perceptions, and concerns regarding the use of language models..By investigating the use of language models in a low-resource language, this thesis aims to contribute to the advancement of natural language processing research in an underrepresented linguis
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