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Updated: Jul 2, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
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Published on: May 17, 2024

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综合评估和早期预测小孩的总运动性能与图表卷积网络基于深度学习:发展和验证研究研究

Sulim Chun1, Sooyoung Jang1, Jin Yong Kim1

  • 1Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.

JMIR formative research
|February 21, 2024
PubMed
概括

这项研究开发了自动化模型,使用幼儿视频来评估粗体运动技能,识别关键运动,如下楼梯,以准确评估发育.

关键词:
全国CNN是什么意思算法算法是一种算法.算法算法是一种算法.人工智能的人工智能是人工智能.孩子孩子孩子孩子孩子孩子儿童发展儿童的发展.孩子们的孩子们的孩子们的孩子们卷积网络是一个卷积网络.发展发展发展发展发展.发展发展性的发展.数字健康数字健康图表 卷积网络 卷积网络总的说来,这是一个很大的损失.运动学 运动学肢体的肢体的肢体的肢体是什么肢体 肢体 肢体 肢体机器学习是机器学习.发动机 发动机 发动机运动运动运动运动运动运动.儿科 儿科 儿科儿科 儿科医生 儿科儿科 儿科 儿科儿科 儿科 儿科 儿科幼儿小孩 幼儿小孩是什么意思幼儿 幼儿 幼儿的 幼儿的

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End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
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