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Geometric Mean01:15

Geometric Mean

4.0K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
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Hybrid Zones02:29

Hybrid Zones

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Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
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One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution01:09

One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

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The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated...
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Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

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The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
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Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

66.6K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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Econometric Views (EViews)01:29

Econometric Views (EViews)

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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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相关实验视频

Updated: Jan 28, 2026

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
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Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

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通过多视图实例细分和混合几何建模进行非破坏性红杉体积估计.

Wattanapong Kurdthongmee1, Arsanchai Sukkuea1, Md Eshrat E Alahi1

  • 1School of Engineering and Technology, Walailak University, Nakhon Si Thammarat 80160, Thailand.

Journal of imaging
|January 27, 2026
PubMed
概括
此摘要是机器生成的。

通过使用一种新的多视图成像和混合几何建模方法,可以实现对木的精确果实体积估计. 这种方法克服了不规则的玻璃杯形状带来的挑战,改善了精密农业应用.

关键词:
计算机视觉 计算机视觉几何建模的几何建模实例细分 实例细分 实例细分机器学习是机器学习.曼哥斯丁是一种曼哥斯丁石.多视图成像多视图成像精准农业 精准农业 精准农业量估计量估计量估计量.

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Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images
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Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images

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相关实验视频

Last Updated: Jan 28, 2026

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
14:14

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

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Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

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Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images
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Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images

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科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 精准农业 精准农业 精准农业

背景情况:

  • 准确的,非破坏性的果实体积估计对于精准农业至关重要,影响质量分类和产量预测.
  • 由于不规则的玻璃杯结构,传统方法与复杂的水果几何形状 (如红枣) 斗争.
  • 现有的基于视觉的技术面临着不对称的突起的局限性,阻碍了精确的体积建模.

研究的目的:

  • 开发一种新的框架,用于使用二维成像进行准确,非破坏性的红杉体积估计.
  • 为了应对复杂的水果几何和不规则的玻璃杯在体积建模中的挑战.
  • 为了比较单视图与多视图几何模型的性能,用于果实体积预测.

主要方法:

  • 采用基于You Only Look Once (YOLO) 的实例细分模型来将果实体与杯子分开.
  • 利用多视图实例细分和混合几何特征建模用于定量体积评估.
  • 训练和评估了八种回归模型,包括单视图和多视图几何回归器,多项式混合体和圆体近似.

主要成果:

  • 除了玻璃杯,显著改善了模型性能 (R2<0.40没有vs>0.64有).
  • 多视图模型的表现始终优于单视图模型,平均预测精度从R2=0.6493提高到R2=0.7290.
  • 最好的混合线性回归模型,结合面积特征 (As1.5,Ab1.5) 和圆体积 (Vellipsoid),实现了R2=0.7290,MAPE=16.04%,RMSE=31.9 cm3.

结论:

  • 拟议的混合模型为实时果实体积估计提供了一个低成本,可解释和灵活的解决方案.
  • 这种方法有效地处理复杂的水果几何形状,克服传统方法的局限性.
  • 该模型适合集成到收获后加工中的自动分拣和分级系统中.