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Updated: Jul 9, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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可解释的AI用于基于能源云的物质属性预测:由Shapley驱动的方法

Faiza Qayyum1, Murad Ali Khan1, Do-Hyeun Kim1

  • 1Department of Computer Engineering, Jeju National University, Jeju-si 63243, Republic of Korea.

Materials (Basel, Switzerland)
|December 9, 2023
PubMed
概括

这项研究使用TabNet,一个深度学习模型,准确预测氧化 (PZT) 陶的介电常数. 确定了d33和化学公式等关键因素,改善了材料的发现.

关键词:
有形的 有形的在 TabNet TabNet 中使用.陶陶是一种陶.深度学习是一种深度学习.可解释的人工智能机器学习是机器学习.有关物质的材料.

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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments08:12

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