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相关概念视频

Source Transformation01:15

Source Transformation

11.1K
Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
11.1K
Types Of Transformers01:16

Types Of Transformers

1.4K
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...
1.4K
Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

1.0K
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.
1.0K
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
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...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.5K
3.5K
Transformers01:26

Transformers

1.7K
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...
1.7K

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相关实验视频

Updated: Jan 17, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

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一致的助理域名转换器用于源码免费的域名适应.

Renrong Shao, Wei Zhang, Kangyang Luo

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 25, 2025
    PubMed
    概括

    本研究介绍了一致的辅助域转换器 (CADTrans),用于无源域调整,增强特征一致性和多样性. CADTrans有效地解决域偏差和硬样本问题,在没有源数据访问的情况下改善模型性能.

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 无源域适应 (SFDA) 面临着难以获取源数据的挑战,阻碍了确定性不变特征的提取.
    • 现有的SFDA方法通常通过专注于类似源域的目标域特征来应对硬样本和域偏差.

    研究的目的:

    • 提出一种新的方法,即一致的辅助域变换器 (CADTrans),以实现有效的SFDA.
    • 解决特征表示多样性的局限性,提高SFDA中对域偏差和硬样本的稳定性.

    主要方法:

    • 在CADTrans中开发了一个辅助域模块,以从聚合的全球关注中生成多样化的特征表示.
    • 采用多种一致的策略,使用助理和目标域来获得不可变的特征表示,以区分易用和难用样本.
    • 引入了有条件的多核最大平均差异 (CMK-MMD) 策略,通过区分类内和类间的样本,将硬样本与容易样本对齐.

    主要成果:

    • 在各种基准标准中,CADTrans表现出显著的性能改进,包括Office-31,Office-Home,VISDA-C和DomainNet-126.
    • 提出的方法有效地构建具有域一致性的不变特征表示.
    • 该方法成功地区分和对准硬样本,减轻域偏差问题.

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    结论:

    • 通过增强功能一致性和多样性,CADTrans为SFDA提供了一个强大的解决方案.
    • 该方法在标准SFDA基准指标上的现有方法相比显示出更高的性能.
    • 开发的技术为未来在没有源数据的情况下对域调整的研究提供了有希望的方向.