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

Visual System01:26

Visual System

566
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
566
Vision01:24

Vision

53.1K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.1K

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

Association study on the regulation of muscle development-related genes, proteins, and metabolites in different tissues by gastrointestinal flora during various developmental stages of Liaoning cashmere goats.

Food chemistry·2026
Same author

Moderate Dietary Cannabidiol Enhances Growth, Restructures Gut Microbiota, and Bolsters Environmental Stress Resilience in <i>Litopenaeus vannamei</i>.

Antioxidants (Basel, Switzerland)·2026
Same author

Genome-wide analysis of fifteen flavonoid biosynthesis gene families in moso bamboo (Phyllostachys edulis) and functional characterization of PeFNSI1 in modulating salicylic acid metabolic flux.

Plant physiology and biochemistry : PPB·2026
Same author

Extracellular payload release from non-internalizing antibody-drug conjugates: mechanisms and linker technologies.

Drug delivery·2026
Same author

CT-based multiple instance and ensemble learning for lymph node metastasis prediction in esophageal squamous cell carcinoma: a multicentre, retrospective study.

Cancer imaging : the official publication of the International Cancer Imaging Society·2026
Same author

Long-term outcomes of S-1-based chemoradiotherapy in inoperable elderly patients with esophageal carcinoma: A multicenter, randomized, phase III clinical trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025

相关实验视频

Updated: Jun 23, 2025

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

517

传感器网络:一种适应性注意力卷积神经网络,用于传感器特征学习.

Jiaqi Ge1, Gaochao Xu1, Jianchao Lu2

  • 1Department of Computer Science and Technology, Jilin University, Changchun 130012, China.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
概括

传感器网络 (SensorNet) 是一种用于传感器特征学习的新型神经网络,在各种应用中提供高通用性. 这种高效的模型以更少的参数实现了最先进的性能,改善了有限的传感器数据场景的可移植性.

关键词:
注意力卷积神经网络注意力卷积神经网络人类行为识别 人类行为识别传感器特征学习功能 传感器特征学习

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.7K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

386

相关实验视频

Last Updated: Jun 23, 2025

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

517
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.7K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

386

科学领域:

  • 机器学习 机器学习
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 传感器数据分析数据分析

背景情况:

  • 预训练的神经网络往往表现出较差的可移植性,以新的应用程序和有限的传感器数据.
  • 开发可通用的传感器特征学习模型对于各种现实应用至关重要.

研究的目的:

  • 开发一个可通用的神经网络,SensorNet,用于在各种应用程序中有效的传感器特征学习.
  • 为应对现有模型可移植性较差的挑战,以解决数据稀缺的新领域的挑战.

主要方法:

  • 整合自我注意力灵活性与卷积的多尺度特征局部性.
  • 引入补丁智能自我注意力,堆叠多头,以丰富传感器特征表示.
  • 与最先进的混合基线 (3.87 M 参数) 相比,开发了一个明显较小的模型 (0.83 M 参数).

主要成果:

  • 传感器网络在SHL'18活动识别数据集上实现了最先进的性能.
  • 在较小的数据集上微调预训练的SensorNet显示了显著的改进 (在WISDM上高达5%),并在EEG数据集 (SLEEP-EDF-20) 上达到最高准确度.
  • 与顶级模型相比,在活动识别和其他基于传感器的任务中表现出卓越的性能和通用性.

结论:

  • 传感器Net为传感器特征学习提供了一个高度通用和高效的解决方案.
  • 该模型的架构增强了特征表示,并使有效的转移学习成为可能.
  • 传感器网络显示出广泛应用的巨大潜力,需要使用有限的数据进行强大的传感器数据分析.