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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Reducing Line Loss01:18

Reducing Line Loss

151
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
151
Deconvolution01:20

Deconvolution

159
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
159
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.7K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
4.7K
Improving Translational Accuracy02:07

Improving Translational Accuracy

10.2K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
10.2K
Light Acquisition02:16

Light Acquisition

8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K

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

Ultrahigh-Performance Mix-Structure Ga<sub>2</sub>O<sub>3</sub>/ZnO Heterostructure Solar Blind UV Detector and Its Wide Applications in Multiples of Scenarios Under Different Conditions.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis.

La Radiologia medica·2026
Same author

Asymmetric Halocyclization of 2-Anilidostyrenes Using <i>N</i>-Haloamides Enabled by Chiral Anion Phase-Transfer Catalysis.

Organic letters·2025
Same author

Hyaluronic acid modified liposomes with enhanced transdermal delivery of methotrexate for psoriasis treatment.

Colloids and surfaces. B, Biointerfaces·2024
Same author

Generation of 8-fs and 13-nJ pulse from a Yb-fiber system with nonlinear-pulse-compression.

Optics express·2024
Same author

Revolutionizing pressure ulcer regeneration: Unleashing the potential of extracellular matrix-derived temperature-sensitive injectable antioxidant hydrogel for superior stem cell therapy.

Biomaterials·2024

相关实验视频

Updated: Jun 27, 2025

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.7K

一个基于改进的YOLOv5在空中图像中的小型目标检测算法.

PengLei Zhang1, Yanhong Liu1

  • 1Software College, Henan University, KaiFeng, Henan, China.

PeerJ. Computer science
|May 3, 2024
PubMed
概括

这项研究使用改进的YOLOv5算法增强了远程传感小目标检测. 新方法在RSOD数据集上提高了3.5%的检测精度,克服了复杂环境中的挑战.

科学领域:

  • 计算机视觉 计算机视觉
  • 遥感技术 遥感技术 遥感技术
  • 人工智能的人工智能

背景情况:

  • 无人驾驶飞行器 (UAV) 空中摄影面临着由于目标大小和复杂的环境条件,在小目标检测方面面临挑战.
  • 在遥感图像中准确和快速识别目标类别至关重要,但很困难.

研究的目的:

  • 提出基于YOLOv5架构的改进远程传感目标检测算法.
  • 为了提高复杂的空中环境中小型目标的检测速度和精度.

主要方法:

  • 引入了分布焦点损失功能,以加快网络融合,并改善对YOLOv5s模型中的注释数据的关注.
  • 修改了跨阶段部分 (CSP) 网络结构,包括调整卷积内核大小和添加堆分离的卷积模块.
  • 设计了一种新的注意力机制,用于在不同的层次特征地图中有效地融合特征.

主要成果:

  • 与原来的YOLOv5算法相比,拟议的算法在远程传感物体检测 (RSOD) 数据集上的检测精度提高了3.5%.
  • 显著提高了远程传感目标检测的精度.

结论:

  • 改进的YOLOv5算法有效地提高了远程传感小目标检测的精度.
关键词:
航空摄影是从空中拍摄的.算法算法是一种算法.图片 图片 图片 图片 图片这是YOLOv5的.

更多相关视频

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.3K

相关实验视频

Last Updated: Jun 27, 2025

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.7K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.3K
  • 该算法显示了工业和军事领域的实际应用潜力,需要精确的空中监视.