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相关概念视频

Transformers01:26

Transformers

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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...
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Types Of Transformers01:16

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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...
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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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相关实验视频

Updated: Jun 15, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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优化文档管理和检索,使用多式联运变压器和知识图.

Yali Chen1, Bin Hu2, Yajuan Liu3

  • 1Archives of Nantong University, Nantong, China.

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|June 11, 2025
PubMed
概括
此摘要是机器生成的。

MDKG-RL模型通过整合知识图和深度强化学习来增强多式档案检索. 它显著提高了准确性和效率,在更好的信息管理方面表现优于基线模型.

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科学领域:

  • 计算机科学 计算机科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 多模式档案数据正在迅速增长,这对传统的检索方法构成了挑战.
  • 现有的方法与异质数据作斗争,导致准确性和效率低下.

研究的目的:

  • 开发一个先进的模型,以高效和准确的多式联运档案数据检索.
  • 解决传统检索技术在处理复杂数据方面的局限性.

主要方法:

  • 提出了MDKG-RL模型,整合了知识图推理,深度强化学习和多式变压器.
  • 使用ICDAR 2023和AIDA Corpus数据集进行实验验证.

主要成果:

  • 实现了0.85的平均互惠等级 (MRR) 和0.88.88的正常化折扣累积收益 (NDCG).
  • 与基线模型相比,显著改善:MRR增加13.3%,NDCG增加12.8%,响应时间减少38.2%.
  • 实体链接的准确性达到了92.4%.

结论:

  • MDKG-RL模型为多式联络档案检索提供了有效的解决方案,提高了性能.
  • 未来的工作包括扩展数据,优化策略和探索新的应用场景.