相关实验视频

Updated: Jun 9, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

"采矿水冲入源的快速识别模型使用随机森林,通过多策略改进的子搜索算法进行优化" [Heliyon 10 (2024) e35708] 的撤回通知

Jierui Ling¹, Zhibo Fu¹, Kailong Xue¹

¹School of Coal Engineering, Shanxi Datong University, Datong 037000, China.

|November 11, 2025

概括

这篇文章已被撤回. 在最初的出版物中提出的科学发现和结论不再被认为是有效的.

科学领域:

科学研究科学研究
学术出版学术出版公司

背景情况:

这篇文章已被撤回.
撤销是保持科学完整性的关键机制.

研究的目的:

为了正式撤回文章.
通知科学界关于撤回的信息.

主要方法:

对这篇文章及其发现进行了审查.
决定撤回该出版物的决定.

主要成果:

这篇文章DOI: 10.1016/j.heliyon.2024.e35708已被撤回.
科学记录已经得到纠正.

结论:

撤回的文章不应该被引用.
保持科学文献的完整性至关重要.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

相关概念视频

Survival Tree

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a survival tree begins...