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Updated: Jul 2, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

基于树的学习,用于对混乱的高准确性预测.

Adam Giammarese1, Kamal Rana2, Erik M Bollt3,4

  • 1School of Mathematics and Statistics, Rochester Institute of Technology, Rochester, NY, 14623, USA. amg2889@rit.edu.

Scientific reports
|November 25, 2025
PubMed
概括

这项研究引入了一种更简单的机器学习方法,用于预测混乱系统,如气候模式. 它自动化了超参数调整,减少了计算需求,提高了预测准确度.

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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

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