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相关概念视频

Plastic Deformations01:19

Plastic Deformations

477
Plastic deformation represents a fundamental concept in materials science, which explains the irreversible change in the shape of a material when it experiences stress beyond its elastic capability. This phenomenon is important in structural engineering, especially in designing and analyzing cantilever beams—structures that are securely fixed at one end and bear loads at the opposite end. When these beams are subjected to loads within their elastic range, they will return to their...
477
Plastic Deformations01:14

Plastic Deformations

477
It is essential to understand how structural members behave under plastic deformation when the bending stress exceeds the material's yield strength. This state of deformation permanently alters the shape of the member, in contrast to the linear elastic behavior observed before yielding. The strain at any point in the member is expressed in terms of maximum strain. Notably, the neutral axis, which coincides with the centroid during elastic bending, shifts away from the centroid under plastic...
477
Bacterial Transformation01:33

Bacterial Transformation

60.2K
In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
60.2K
Temperature Dependent Deformation01:12

Temperature Dependent Deformation

415
In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added...
415
Deformations in a Symmetric Member in Bending01:18

Deformations in a Symmetric Member in Bending

528
When analyzing the deformation of a symmetric prismatic member subjected to bending by equal and opposite couples, it becomes clear that as the member bends, the originally straight lines on its wider faces curve into circular arcs, with a constant radius centered at a point known as Point C. This phenomenon helps to understand the stress and strain distribution within the member more clearly.
When the member is segmented into tiny cubic elements, it is observed that the primary stress...
528
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

491
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
491

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相关实验视频

Updated: Feb 14, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

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可变形的金字塔形变压器用于半监督的驾驶员分心检测.

Qiang Zhao1, Zhichao Yu2, Jiahui Yu2

  • 1School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种适应性的半监督框架,用于检测驾驶员的分心,通过使用有限的标记数据和未标记的样本来显著改善安全系统,以获得准确的性能.

关键词:
基于YOLO的检测是基于YOLO的检测.可变形的特征是融合的.驾驶员分心检测检测 驾驶员分心检测驾驶员监控系统 驾驶员监控系统智能运输系统 智能运输系统多个尺度的特征调整对齐.对象检测检测对象检测对象检测半监督学习 半监督学习教师学生的框架.

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相关实验视频

Last Updated: Feb 14, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

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A Mouse Distraction Osteogenesis Model
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A Mouse Distraction Osteogenesis Model

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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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科学领域:

  • 智能运输系统 智能运输系统
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 司机的注意力对于智能运输安全至关重要.
  • 对于驾驶员分心检测模型的手动注释是昂贵和耗时的.
  • 现有的模型在有限的标记数据中扎.

研究的目的:

  • 提出一个适应性的半监督驾驶员分心检测框架.
  • 用有限的标记数据提高模型性能.
  • 增强现实世界的驾驶员监控系统.

主要方法:

  • 使用教师-学生学习和可变形金字塔特征融合.
  • 包含一个自适应的伪标签优化策略,具有类别意识的门和信任权重.
  • 在YOLOv11探测器中集成一个可变形金字塔散子变压器 (DPST) 模块.
  • 使用教师指导的特征一致性蒸.

主要成果:

  • 使用有限的标记数据和大量的未标记数据实现了强大的和可扩展的分心检测.
  • DPST模块增强了对微妙驾驶员行为的细粒度感知.
  • 在mAP指标中,在Roboflow分心驾驶数据集上表现优于完全监督的基线.
  • 在精度和回忆之间展示了一个平衡的权衡.

结论:

  • 拟议的框架为在有限的注释条件下检测驾驶员分心提供了有效的解决方案.
  • 能够实现实用和可扩展的驾驶员监控系统.
  • 通过特征一致性蒸减轻噪音伪标签的影响.