Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Survival Tree01:19

Survival Tree

50
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...
50
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

234
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...
234
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Method of Superposition01:20

Method of Superposition

622
The method of superposition is a crucial technique in structural engineering, used to analyze the effect of multiple loads on beams. This approach involves calculating the deflection and slope for each load on a beam separately, and then summing these effects to determine the overall impact. It is applicable only when the beam material remains within its elastic limit, ensuring that deformations are linearly elastic.
When applying the method of superposition, each type of load—whether...
622

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Gene-Dosage Effect of V89L Variants in Steroid 5α-Reductase Type 2 and Increased Risk of 46, XY Disorders of Sex Development: A Systematic Review and Meta-Analysis.

Journal of Indian Association of Pediatric Surgeons·2026
Same author

Clinical Utility of Infrared Thermography in Pediatric Patients: A Systematic Review of Surgical and Nonsurgical Applications.

Journal of Indian Association of Pediatric Surgeons·2026
Same author

Epigenetic Signatures in Hypospadias: Systematic Review.

Journal of Indian Association of Pediatric Surgeons·2026
Same author

Expanding the Genetic Blueprint of Wilms Tumor: An Account of 71 Novel Variants across 16 Genes with Novel Implications for Wilms Tumor Pathogenesis.

Journal of Indian Association of Pediatric Surgeons·2026
Same author

Stretched penile length in boys with hypospadias: Population-based analysis using validated nomogram.

Journal of pediatric urology·2026
Same author

Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.

Scientific reports·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 24, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

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

Published on: August 16, 2020

6.6K

使用整体机器学习技术进行增强的斜率稳定性预测.

Devendra Kumar Yadav1, Swarup Chattopadhyay2, Debi Prasad Tripathy3

  • 1School of Computer Science and Engineering, XIM University, Bhubaneswar, 752050, Odisha, India. devenya2091@gmail.com.

Scientific reports
|March 2, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个集体机器学习模型,用于精确的斜率稳定性预测. 开发的模型显著提高了对地质工程应用的分类和回归任务的准确性.

关键词:
集成分类器是一个整体分类器.安全的安全因素.机器学习是机器学习.回归是一种回归.斜坡的稳定性 斜坡的稳定性

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

938
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

相关实验视频

Last Updated: May 24, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

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

Published on: August 16, 2020

6.6K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

938
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

科学领域:

  • 地质技术工程 地质技术工程
  • 机器学习 机器学习
  • 计算科学 计算科学

背景情况:

  • 准确的斜率稳定性预测在地质工程中至关重要,但仍然具有挑战性.
  • 现有的方法往往缺乏现实应用所需的精度和速度.
  • 机器学习为增强斜坡稳定性评估提供了潜力.

研究的目的:

  • 开发一个集体机器学习模型,用于准确的斜率稳定性预测.
  • 从分类和回归角度评估模型的性能.
  • 为了比较集体模型与基本分类器的有效性.

主要方法:

  • 采用集体包装和提升技术,使用决策树 (DT) 和随机森林 (RF) 作为基本分类器.
  • 从125个数据点中选择了7个定量参数,使用随机交叉验证.
  • 应用了缩小尺寸的技术来评估数据聚合的影响.

主要成果:

  • 集成模型在分类中实现了>90%的准确性,比基准分类器高出8-10%.
  • 与传统模型相比,集体包装回归将R平方值提高了8-10%.
  • 随机森林和用DT进行集体包装显示出优越的稳定性和准确性,即使在缩小尺寸后.

结论:

  • 整体机器学习模型,特别是用DT进行整体包装,为斜坡稳定性预测提供了非常有效的方法.
  • 拟议的模型为地质技术斜坡工程提供了一种新且准确的方法.
  • 集体包装模型被认为是根据实验结果评估和预测斜坡稳定性的最有效方法.