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相关概念视频

Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.1K
Types Of Transformers01:16

Types Of Transformers

975
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
975
Master Transcription Regulators02:23

Master Transcription Regulators

2.2K
2.2K
Energy Losses in Transformers01:21

Energy Losses in Transformers

872
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
872
Improving Translational Accuracy02:07

Improving Translational Accuracy

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2.6K
Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

580
The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
580

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相关实验视频

Updated: Jul 2, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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多模式抽象总结使用来自具有注意力机制的变压器的双向编码器表示.

Dakshata Argade1, Vaishali Khairnar1, Deepali Vora2

  • 1Terna Engineering College, Nerul, Navi Mumbai, 400706, India.

Heliyon
|February 29, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用变压器双向编码器表示 (MAS-BERT) 来总结长视频的多式抽象总结. MAS-BERT显著提高了总结准确性,优于现有的模型,用于更好的视频搜索和用户体验.

关键词:
注意力机制注意力机制从变压器的双向编码器表示.解码器的解码器是什么意思编码器编码器的编码器多模式抽象总结多模式抽象总结多种模式 多种模式

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相关实验视频

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科学领域:

  • 自然语言处理自然语言处理.
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 多模式抽象总结旨在从各种信息来源创建简洁的摘要.
  • 现有的方法在长时间的视频中扎,产生不理想的总结结果.
  • 有效的视频搜索对于用户快速评估视频相关性至关重要.

研究的目的:

  • 为长视频开发一种先进的多式抽象总结技术.
  • 在视频共享平台上增强视频可搜索性和用户体验.

主要方法:

  • 建议使用来自变压器的双向编码器表示 (MAS-BERT) 带有注意力机制的多式抽象总结.
  • 使用双向门式反复单元 (Bi-GRU) 和长短期内存 (LSTM) 编码器进行数据编码.
  • 采用基于BERT的注意力机制进行模式融合和Bi-GRU解码器进行摘要生成.

主要成果:

  • 马斯伯特获得了60.2的Rouge-1评分,超过了D-MmT (49.58) 和FLORAL (56.89) 等现有模型.
  • 在多式联络,长视频内容的抽象总结中表现出卓越的性能.

结论:

  • 拟议的MAS-BERT模型有效地解决了目前总结长视频的方法的局限性.
  • 这项研究提供了更好的上下文信息,增强了用户体验,并通过更好的搜索功能帮助视频平台保留客户.