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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

48
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...
48

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

Clinical Profile, Comorbidities, and Antimicrobial Resistance Patterns of Myroides Species Isolated From Nosocomial Urinary Tract Infections at a Tertiary Care Center in India: A Retrospective Observational Study.

Cureus·2026
Same author

Fosfomycin Susceptibility Patterns Among Uropathogens and Clinical Predictors of Resistance: A Cross-Sectional Study at a Tertiary Care Centre in Northern India.

Cureus·2026
Same author

Accelerated Direct Identification of Gram-Positive and Gram-Negative Bacteria Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) in Critically Ill Patients.

Cureus·2026
Same author

Black Carbon-Attributable Mortality and Its Disparity Across the Population Subgroups in India.

GeoHealth·2026
Same author

Overlooked considerations in prescribing green and blue infrastructure solutions for urban environments.

Innovation (Cambridge (Mass.))·2026
Same author

Homovanillic acid inhibits Candida albicans-Staphylococcus aureus polymicrobial biofilm: in vitro and in vivo evaluation.

Journal of applied microbiology·2026

相关实验视频

Updated: Jun 20, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K

在高度地区使用机器学习模型估计黑碳水平.

Pratima Gupta1, Pau Ferrer-Cid2, Jose M Barcelo-Ordinas2

  • 1Centre for Atmospheric Sciences, Indian Institute of Technology (IIT) Delhi, India.

The Science of the total environment
|July 17, 2024
PubMed
概括

机器学习模型可以使用常见的空气污染和气象数据准确估计黑碳 (BC) 度. 多层感知子 (MLP) 显示出在污染地区具有成本效益的BC监测最有前途.

关键词:
一个乙醇计.空气污染 大气污染空气质量 空气质量碳黑是一种碳黑.建模模型 建模模型监控 监控 监控 监控预测 预测 预测

更多相关视频

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.2K
Measuring Carbon Content in Airway Macrophages Exposed to Carbon-Containing Particulate Matters
05:18

Measuring Carbon Content in Airway Macrophages Exposed to Carbon-Containing Particulate Matters

Published on: July 12, 2024

275

相关实验视频

Last Updated: Jun 20, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.2K
Measuring Carbon Content in Airway Macrophages Exposed to Carbon-Containing Particulate Matters
05:18

Measuring Carbon Content in Airway Macrophages Exposed to Carbon-Containing Particulate Matters

Published on: July 12, 2024

275

科学领域:

  • 大气化学 大气化学
  • 环境科学 环境科学
  • 数据科学数据科学数据科学

背景情况:

  • 黑碳 (BC) 是燃烧造成的重要空气污染物,影响辐射预算.
  • 目前的BC监测成本昂贵,限制了其广泛应用.
  • 污染地区,特别是印度北部地区,面临着高BC水平的挑战.

研究的目的:

  • 开发成本有效的方法来估计黑碳度.
  • 评估机器学习模型对BC预测的有效性.
  • 利用现有的空气质量和气象网络进行BC估计.

主要方法:

  • 使用的机器学习算法:随机森林 (RF),支持向量回归 (SVR) 和多层感知子 (MLP).
  • 使用了有关氧化 (NOx),臭氧 (O3),PM2.5,相对湿度 (RH) 和太阳辐射 (SR) 的数据.
  • 在高BC地区的验证模型:德里和阿格拉,跨越不同季节.

主要成果:

  • 机器学习模型在预测BC度方面表现出类似的有效性.
  • 多层感知子 (MLP) 产生了最有前途的结果,估计和监测的BC之间存在很高的相关性 (R2高达0.85).
  • 在德里和阿格拉都观察到一致的表现,表明模型可靠性.

结论:

  • 机器学习,特别是MLP,是预测BC度的宝贵工具.
  • 这种方法提供了具有成本效益的城市空气质量管理和缓解策略.
  • 这种方法对中低收入地区的大城市尤其有利.