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

Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.9K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.9K
Reducing Line Loss01:18

Reducing Line Loss

361
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
361
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.5K
3.5K
Detection of Black Holes01:10

Detection of Black Holes

2.5K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.5K

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

Computed tomography imaging and observation of hemorrhage in traumatic splenic rupture pre and post partial splenectomy.

Biomedizinische Technik. Biomedical engineering·2026
Same author

Association between estimated pulse wave velocity and acute kidney injury in critically ill sepsis patients: A MIMIC-IV database analysis.

Medicine·2026
Same author

Comparative efficacy and safety of carboplatin-based versus cisplatin-based chemotherapy in muscle-invasive and advanced bladder cancer: A systematic review and meta-analysis.

European journal of clinical pharmacology·2026
Same author

Postoperative stimulated thyroglobulin and the ps-tg/TSH ratio enhance the 2025 ATA risk stratification for predicting radioiodine response in papillary thyroid carcinoma.

Annals of medicine·2026
Same author

Effects and Mechanisms of Stevioside on Metabolic Dysfunction-Associated Steatotic Liver Disease.

Food science & nutrition·2026
Same author

Chinese guidelines on comprehensive assessment of clinical practice in hematopoietic stem cell transplantation Δ.

Journal of cancer research and therapeutics·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jan 16, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K

基于改进的YOLOv10的钢表面缺陷检测算法.

Laomo Zhang1, Zhike Wang2, Ying Ma3

  • 1Henan University of Engineering, Zhengzhou, 451191, China. zlm@haue.edu.cn.

Scientific reports
|September 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的深度学习模型,用于检测钢表面缺陷,提高实时工业监测的准确性和效率. 这种新的方法增强了复杂环境中的特征提取.

关键词:
多分支特征融合网络的多分支特征融合网络.空间多层次的注意力钢表面缺陷检测检测 钢表面缺陷检测这就是YOLOv10的意义.

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

1.6K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

相关实验视频

Last Updated: Jan 16, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K
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

1.6K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

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
  • 人工智能的人工智能

背景情况:

  • 钢表面缺陷检测是工业质量控制的一个关键领域.
  • 现有的深度学习方法在杂的工业环境中面临着高计算复杂性和功能损失的挑战.
  • 实时监控需要高效准确的缺陷检测系统.

研究的目的:

  • 开发一个高效和准确的深度学习模型,用于钢表面缺陷检测.
  • 为了解决当前方法中高计算成本和特征损失的局限性.
  • 在复杂的工业环境中实现实时缺陷监控.

主要方法:

  • 提出了一个新的潜伏空间注意力多尺度YOLOv10n (LAM-YOLOv10n) 模型.
  • 集成了一个轻量级的幽灵模块,以减少计算复杂性和参数.
  • 引入了一个空间多尺度注意 (SMA) 模块,用于增强特征提取.
  • 实施了多分支特征融合网络 (MFFN) 以改善多规模特征聚合.

主要成果:

  • 与基线YOLOv10n.相比,LAM-YOLOv10n模型的精度提高了3.47%.
  • 与最先进的物体检测模型相比,在准确性和效率方面表现出卓越的性能.
  • 验证了模型在检测各种钢表面缺陷方面的有效性.

结论:

  • 拟议的LAM-YOLOv10n模型为实时检测钢表面缺陷提供了有效和实用的解决方案.
  • 该模型的轻量级设计和增强的功能提取能力使其适合工业应用.
  • 这项研究有助于推进钢铁制造业质量控制的机器视觉技术.