The study of different techniques for the characterization of biosignals tends to facilitate and promote improvement in the results of their analysis and classification. We propose electroencephalogram (EEG) character...
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Cyber-physical systems (CPSs) have been used in different domains to enable automation, increase efficiency and effectiveness, and reduce the operational costs of traditional systems. CPSs come with several limitation...
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Acronyms are commonly used in technical fields, such as science and medicine, but their potential expansions can be difficult to understand without proper context. This is where acronym disambiguation (AD) comes in - ...
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Rule-induction models have demonstrated great power in the inductive setting of knowledge graph completion. In this setting, the models are tested on a knowledge graph entirely composed of unseen entities. These ...
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This paper introduces an efficient streaming algorithm for a well-known Minimum cost Submodular Cover (MSC) problem. Our algorithm makes O(logn) passes over the ground set, takes O(nlogn) query complexity and returns ...
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We present an efficient algorithm for the planar k-center problem for points in convex position under the Euclidean distance. Given n points in convex position in the plane, our algorithm computes k congruent disks of...
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Large Language Models (LLMs) have shown their power in information extraction (IE) leveraging text-to-table task. However, suffering from lost-in-the-middle problem, LLMs struggle to extract all the necessary inf...
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This paper presents an approach to no-code development based on the interplay of formally defined (graphical) Domain-Specific Languages and informal, intuitive Natural Language which is enriched with contextual inform...
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Bond graphs represent the structure and functionality of mechatronic systems from a power flow perspective. Unfortunately, presentations of bond graphs are replete with ambiguity, significantly impeding understanding....
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Formula One (F1) drivers are amongst the most highly skilled drivers in the world, but not every F1 driver is destined to be a F1 World Champion. Discovering new talent or refreshing strategies are long-term investmen...
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ISBN:
(纸本)9783319121574;9783319121567
Formula One (F1) drivers are amongst the most highly skilled drivers in the world, but not every F1 driver is destined to be a F1 World Champion. Discovering new talent or refreshing strategies are long-term investments for all competitive F1 teams. The F1 world and teams invest vast amounts in developing high-fidelity simulators;however, driving games have seldom been associated with uncovering certain natural abilities. Beyond nature and nurture to attain success at the top level, certain motor-cognitive aspects are paramount for proficiency. One method of potentially finding talent is studying the behavioral and cognitive patterns associated with learning. Here, an F1 simulation game was used to demonstrate how learning had taken place. The indicative change of interest is from cognitive to motor via more skilled autonomous driving style -a skill synonymous with expert driving and ultimately winning races. Our data show clear patterns of how this skill develops.
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