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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

495
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
495
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

473
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
473
Transformers in Distribution System01:27

Transformers in Distribution System

486
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
486
Association Areas of the Cortex01:21

Association Areas of the Cortex

8.7K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.7K

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相关实验视频

Updated: Jan 10, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

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GATF-PCQA:用于点云质量评估的图形注意力变压器融合网络.

Abdelouahed Laazoufi1, Mohammed El Hassouni2, Hocine Cherifi3

  • 1Research Laboratory in Computer Science and Telecommunications (LRIT), Faculty of Sciences, Mohammed V University in Rabat, Rabat 1014, Morocco.

Journal of imaging
|November 26, 2025
PubMed
概括

本研究引入了一种新的基于图形的学习方法,用于点云质量评估. 该方法有效地模拟了人类的感知,在预测主观质量评分方面表现优于当前的指标.

关键词:
深度学习是一种深度学习.图形神经网络的神经网络没有参考的质量评估.感知特征 感知特征 感知特征点云细分 分点云细分

相关实验视频

Last Updated: Jan 10, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

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科学领域:

  • 计算机视觉 计算机视觉
  • 3D数据处理 3D数据处理
  • 机器学习 机器学习

背景情况:

  • 由于高维度和不规则的3D数据结构,点云质量评估具有挑战性.
  • 将客观质量预测与人类感知对齐至关重要,但很难.

研究的目的:

  • 开发一种新的基于图形的学习架构,用于准确的点云质量评估.
  • 将感知特征与高级图形神经网络集成在一起,以模仿人类的判断力.

主要方法:

  • 提取关键的感知特征 (曲率,突出度,颜色) 来捕捉几何和视觉扭曲.
  • 构建了一个带有感知集群作为节点和特征相似性作为边缘的图形表示.
  • 使用图表注意力网络变压器融合 (GATF) 模块进行特征精细化和图表卷积网络 (GCN) 进行质量评分回归.

主要成果:

  • 提出的方法与人类主观质量评分有很高的相关性.
  • 与基准数据集 (ICIP2020,WPC,SJTU-PCQA) 上的现有最先进指标相比,取得了更好的表现.

结论:

  • 基于图形的新型学习架构有效地模拟了质量判断的感知机制.
  • 该方法为客观的点云质量评估提供了一个强大的解决方案,与人类的感知保持一致.