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相关概念视频

Structural Steel Products01:24

Structural Steel Products

707
Structural steel products are created within a structural mill. The process begins with a beam blank that is reheated and then fed through a series of rollers. These rollers progressively shape the metal into its final form. Adjusting the spacings between the rollers allows for the production of different sections with the same nominal dimensions.
Once shaped, the steel's final form emerges as a continuous length, which is then segmented by a hot saw into manageable pieces. These segments...
707
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Steel Fastening Techniques01:17

Steel Fastening Techniques

1.3K
Steel sections can be joined together through various fastening techniques including riveting, bolting, and welding, each suitable for different structural requirements and conditions.
Rivets are cylindrical steel fasteners with a specially designed head. During application, rivets are heated until white-hot and then inserted through pre-drilled holes in the steel sections. A pneumatic hammer is used to shape the exposed end into a second head, securing the sections together.
Bolting is another...
1.3K
Steel Manufacturing01:26

Steel Manufacturing

1.5K
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
1.5K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Structures of Solids02:22

Structures of Solids

18.6K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
18.6K

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相关实验视频

Updated: Feb 14, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

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LESSDD-Net:基于特征细分和部分连接结构的轻量级和高效的钢表面缺陷检测网络.

Jiayu Wu1, Longxin Zhang1, Xinyi Pu1

  • 1School of Computer Science and Artificial Intelligence, Hunan University of Technology, Zhuzhou 412007, China.

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

我们开发了LESSDD-Net,这是一个用于检测钢表面缺陷的轻量级网络. 它大大降低了计算成本和模型大小,同时提高了准确性,使其适合移动设备.

关键词:
注意力机制注意力机制下面是采样情况.轻量级的轻量级的轻量级的轻量级的表面缺陷检测检测表面缺陷检测

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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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相关实验视频

Last Updated: Feb 14, 2026

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A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

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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
  • 人工智能的人工智能

背景情况:

  • 钢表面缺陷检测对于工业质量和安全至关重要.
  • 目前的深度学习方法在计算上昂贵,限制了移动部署.
  • 需要有效且准确的缺陷检测模型.

研究的目的:

  • 提出一个轻量级和高效的钢表面缺陷检测网络 (LESSDD-Net).
  • 为了减少移动应用程序的计算成本和模型大小.
  • 与现有模型相比,提高检测精度.

主要方法:

  • 引入了一个轻量化下方采样模块 (CSPDDM).
  • 开发了一个轻量级的注意力机制 (CCAttention).
  • 设计了一种轻量级的C2f模块 (LP-C2f) 以改善检测和缩小尺寸.

主要成果:

  • 与YOLO11n.相比,LESSDD-Net的平均精度 (mAP) 提高了3.19%.
  • 与YOLO11n.相比,模型参数减少了39.92%和计算成本减少了20.63%.
  • 在主流物体检测模型中,实现了最高的检测精度,模型复杂性最低.

结论:

  • LESSDD-Net为钢表面缺陷检测提供了一个高度准确和计算效率高的解决方案.
  • 拟议的网络适合在手机等资源有限的设备上部署.
  • 新型模块 (CSPDDM,CCAttention,LP-C2f) 助力网络的卓越性能和效率.