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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

485
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...
485

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

ELYS promotes hepatocellular carcinoma stemness by activating a FOXO6-NUP205 transcriptional module downstream of PI3K/AKT to drive Hedgehog signaling.

Cell & bioscience·2026
Same author

Diversity and potential environmental risks of DNA viruses on international ships' ballast water at Shanghai port, China.

Marine pollution bulletin·2026
Same author

A prospective randomized controlled study on the effect of a novel exsanguination tourniquet in fresh closed distal radius fracture surgery.

Journal of orthopaedic surgery (Hong Kong)·2025
Same author

A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (<i>Thunnus albacares</i>) Distribution Using SHapley Additive exPlanations (SHAP) Analysis.

Biology·2025
Same author

Effect of Intensive Blood Pressure Control on Stroke: A Prespecified Secondary Analysis of the ESPRIT Trial.

Journal of the American College of Cardiology·2025
Same author

AHCTF1 Functions as an Oncogenic Factor and Promotes Tumor Progression in Hepatocellular Carcinoma.

Digestive diseases and sciences·2025

相关实验视频

Updated: Jan 17, 2026

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

13.0K

基于使用轨迹数据的多分支卷积神经网络进行捕鱼操作类型识别.

Bohui Jiang1,2, Weifeng Zhou1

  • 1East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China.

PeerJ. Computer science
|September 24, 2025
PubMed
概括
此摘要是机器生成的。

准确的渔船操作识别对于可持续渔业至关重要. 这项研究引入了一种使用Geohash编码和深度学习 (MB-1dCNN) 的新框架,用于从船舶轨迹中提取高级时空特征.

关键词:
深度卷积神经网络是一个深度卷积神经网络.深度学习是一种深度学习.嵌入式 嵌入式 嵌入式捕鱼操作类型 捕鱼操作类型地质哈希 (Geohash) 是一个类型的地质哈希.时间空间的背景.船舶轨迹 船舶轨迹是指船舶的轨迹.

更多相关视频

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

7.2K
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 17, 2026

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

13.0K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

7.2K
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:

  • 海上监督是什么意思?海上监督是什么意思?
  • 空间计算 空间计算
  • 渔业科学 渔业科学

背景情况:

  • 可持续的渔业管理需要准确识别渔船操作.
  • 目前的方法与时空背景和船舶轨迹中的多式联络数据融合作斗争.

研究的目的:

  • 利用时空轨迹数据,开发一个用于加强渔船操作识别的新框架.
  • 改进多式联运数据的融合和情境信息的提取.

主要方法:

  • 基于Geohash的地理编码与自然语言处理启发的嵌入技术的整合,用于时空特征提取.
  • 开发一个多分支1D卷积神经网络 (MB-1dCNN),用于操作类型识别.
  • 对Geohash编码长度和网络架构进行比较分析 (单分支与多分支,完全连接与1D-CNN).

主要成果:

  • 最佳的Geohash编码长度被确定为5.
  • 多分支架构显著优于单分支设计.
  • 与多分支完全连接网络 (MB-FCNN) 相比,MB-1dCNN实现了更高的准确性和F1得分.

结论:

  • 对于连续的特征提取,1D-CNN处理比完全连接的网络更有效.
  • 多分支架构在轨迹分析中增强了信息融合能力.
  • MB-1dCNN模型为基于轨迹的捕鱼操作识别设置了一个新的最先进的状态.