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相关概念视频

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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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...
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Reducing Line Loss01:18

Reducing Line Loss

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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...
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Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Improving Translational Accuracy02:07

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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...
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Differential Leveling01:12

Differential Leveling

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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
183
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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相关实验视频

Updated: Jul 7, 2025

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

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一个改进的基于YOLOv5的轻型潜艇目标检测算法.

Likun Mei1, Zhili Chen1

  • 1School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710021, China.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种改进的YOLOv5算法,用于轻型潜艇识别,增强海上安全. 新方法提高了检测准确度和精度,同时大大降低了移动部署的计算负载.

关键词:
C3_DSDS 在线阅读在SA-net上,可以使用SA-net.轻的重量轻的重量轻的重量

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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

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Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

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Last Updated: Jul 7, 2025

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

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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 防务技术 防务技术 技术

背景情况:

  • 传统的潜艇识别算法在特征表示和稳定性方面扎.
  • 在嵌入式系统上部署深度学习用于潜艇检测是具有挑战性的.

研究的目的:

  • 开发基于YOLOv5.5的轻量级,高精度的潜艇自动识别检测算法.
  • 提高海上安全应用的潜艇识别的效率和准确性.

主要方法:

  • 一个改进的YOLOv5架构,包括基于MobileNetV3的特征金字塔和C3_DS模块.
  • 从SA-net策略中整合适应部,以最大限度地减少错过的检测.
  • 在专门的潜艇数据集上进行评估.

主要成果:

  • 在精度方面实现了8.54%,在回忆方面达到6.02%,在mAP方面达到3.36%的增长0.5.5.
  • 参数数量减少了34.1%,计算复杂度减少了67.9%.
  • 在检测准确性和稳定性方面显著改进.

结论:

  • 拟议的轻量级YOLOv5型号提供了增强的潜艇识别能力.
  • 该方法有效地解决了传统算法的局限性和移动平台上的部署挑战.
  • 这种方法通过改进目标检测,为海上安全和军事防御做出了重大贡献.