相关实验视频

Updated: May 2, 2026

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings
14:40

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Published on: October 25, 2015

9.4K

ActBeCalf:基于加速器的多变量时间序列数据集用于小牛行为分类

Oshana Iddi Dissanayake1,2, Sarah E McPherson2,3,4, Joseph Allyndrée5,2

  • 1School of Computer Science, University College Dublin, Ireland.

Data in brief
|April 15, 2025
PubMed
概括

这项研究介绍了ActBeCalf,这是一个新的数据集,用于使用加速度计数据对未断奶的小牛行为进行分类. 它使准确的机器学习模型能够改善奶牛农场的小牛福利.

关键词:
加速度计数据 速度计数据牛犊行为分类的分类机器学习是机器学习.多变量时间序列.

更多相关视频

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

10.8K
Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.2K

相关概念视频

Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
1.0K