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相关概念视频

Solubility Equilibria: Overview01:09

Solubility Equilibria: Overview

717
When a substance such as sodium chloride is added to water, it dissolves, forming an aqueous solution. The extent of dissolution is called solubility. The process of dissolution can exist in equilibrium, just like other chemical processes. Solubility equilibria are also called precipitation equilibria because the process of solubility can be reversible. The reverse of the solubility process is called precipitation.
Solubility is important in biological and environmental processes. A notable...
717
Solubility Equilibria03:07

Solubility Equilibria

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Solubility equilibria are established when the dissolution and precipitation of a solute species occur at equal rates. These equilibria underlie many natural and technological processes, ranging from tooth decay to water purification. An understanding of the factors affecting compound solubility is, therefore, essential to the effective management of these processes. This section applies previously introduced equilibrium concepts and tools to systems involving dissolution and precipitation.
The...
52.8K
Solvents01:12

Solvents

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A solvent is a substance, most often a liquid, that can dissolve other substances. Here, the substance being dissolved is called a solute. When a solvent and a solute combine, they form a solution - a homogenous mixture of both the solvent and the solute. Water is a universal biological solvent. Its polar structure allows it to dissolve many other polar compounds. The ability of water to dissolve is governed by a balance between water molecules binding to each other and binding to the solute.
A...
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相关实验视频

Updated: Jul 24, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

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实时自动化可溶性选方法使用深度神经网络与手工制作的功能.

Minwoo Jeon1, Geunhyeok Yu1, Hyundo Choi2

  • 1Department of Software Convergence, Kyunghee University, Yongin 17104, Republic of Korea.

Sensors (Basel, Switzerland)
|July 8, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种计算机视觉方法,用于实时,使用手工制作的功能和深度神经网络 (DNN) 分类器进行自动溶解度测量. 这使得溶液溶解状态的自动选成为可能,这对于工业应用至关重要.

关键词:
自动化可溶性选 进行可溶性选.深度神经网络是一个神经网络.这是一个手工制作的特色特征.溶解度测量测量的溶解度测量支持矢量机器的支持矢量机器.

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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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科学领域:

  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 计算机视觉 计算机视觉

背景情况:

  • 自动化和实时的溶解度测量在研究和工业中越来越重要.
  • 传统方法往往缺乏实时功能,阻碍了流程自动化.
  • 在工业环境中,有限的标记图像数据集需要对端到端学习采取替代方法.

研究的目的:

  • 开发一种基于计算机视觉的方法,用于解决方案溶解状态的自动分类.
  • 为了利用手工制作的功能,在有限的标记数据下提高准确性.
  • 为了实现实时,自动化可溶性选.

主要方法:

  • 利用计算机视觉算法从解决方案图像中提取九个手工制作的特征.
  • 使用这些手工制作的功能训练了一个深度神经网络 (DNN) 分类器.
  • 构建了各种溶液图像的数据集,从部分溶解到完全溶解的状态.

主要成果:

  • 提出的方法成功地根据溶解状态对溶液进行分类.
  • 使用平板电脑或手机等常见设备实现了可溶性状态的自动实时选.
  • 证明了手工制作的功能与DNN一起用于此特定任务的有效性.

结论:

  • 开发的方法为溶解度测量提供了一种高效和自动化的方法.
  • 与自动可溶性改变系统的集成可以导致完全自动化的流程.
  • 这种技术对于需要实时监控的工业应用具有重大潜力.