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相关概念视频

Thermosensation01:43

Thermosensation

30.5K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
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Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

586
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.  
Step 3: Assess the patient's...
586
Thermal Strain01:19

Thermal Strain

1.7K
Thermal strain is a concept that arises when we consider how temperature changes affect structures. Unlike the conventional assumption that structures remain constant under load, real-world scenarios often involve temperature fluctuations that can significantly impact these structures. Consider a homogeneous rod with a uniform cross-section resting freely on a flat horizontal surface. If the rod's temperature increases, the rod elongates. This elongation is proportional to the temperature...
1.7K

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相关实验视频

Updated: Jul 20, 2025

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

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基于深度学习的生成艺术作品的温度检查.

Yi Liu1, Fumin Wang1, Zhili Jiang1

  • 1Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究利用深度学习增强了红外热学技术,用于对艺术品进行检查. 光谱规范生成对抗网络 (SNGAN) 和卷积自编码器 (CAE) 通过增加信号噪声比提高了缺陷检测.

关键词:
艺术作品 艺术作品卷积式自动编码器的自动编码器生成性的对抗性网络.红外热像学 红外热像学 红外热像学面板油漆 面板油漆 面板油漆

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Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds
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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机视觉 计算机视觉
  • 艺术保护科学 艺术保护科学

背景情况:

  • 红外热图是艺术品的关键非破坏性测试方法.
  • 原始热图通常具有噪音和有限的数据,阻碍了准确的缺陷检测.
  • 需要先进的数据增强技术来改善温度分析.

研究的目的:

  • 开发和评估深度学习方法,以增强用于艺术品检查的温度数据.
  • 通过使用增强的温度计和主要组件分析,提高艺术品中的缺陷检测能力.

主要方法:

  • 提出了一个缺陷检查方法,将主要组件分析 (PCT) 与深度学习相结合.
  • 使用光谱规范生成对抗网络 (SNGAN) 进行数据增强.
  • 使用卷积自动编码器 (CAE) 来提高热图像质量.

主要成果:

  • 通过SNGAN集成,信号与噪声比提高了1.08%.
  • 通过CAE集成,信号与噪声比提高了8.73%.
  • 这两种深度学习方法,当与PCT相结合时,与PCT单独相比,提高了缺陷检测能力.

结论:

  • 基于深度学习的温度数据增强显著改善了艺术品的缺陷检测.
  • 在提高图像质量和缺陷可见性方面,CAE显示出卓越的性能.
  • 拟议的综合方法为非破坏性艺术品检查提供了一个有希望的解决方案.