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相关概念视频

Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

Entropy

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
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Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

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Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
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Nuclear Fusion02:45

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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Retrieval01:12

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Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
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Entropy and Solvation02:05

Entropy and Solvation

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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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相关实验视频

Updated: Feb 7, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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以透为导向的多级特征融合网络,用于基于内容的高精度图像检索.

M Lavanya1, G Vennira Selvi2, R Gopi3

  • 1Faculty of Artificial Intelligence and Data Science, Adhiparasakthi College of Engineering, Ranipet District, Kalavai, 632 506, Tamilnadu, India.

Scientific reports
|February 5, 2026
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概括

本研究引入了基于内容的图像检索 (CBIR) 的自适应框架,通过结合深度和手工制作的功能来提高准确性. 新系统显著提高了对大规模应用的图像搜索性能和可靠性.

关键词:
基于内容的图像检索.数据库的图像数据库的图像.图像增强 图像增强 图像增强图像细分 图像细分 图像细分查询图像 查询图像 查询图像

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科学领域:

  • 计算机科学 计算机科学
  • 信息检索 信息检索
  • 人工智能的人工智能

背景情况:

  • 传统的基于内容的图像检索 (CBIR) 系统由于固定的特征权重和语义差距而难以准确.
  • 在现有的CBIR框架中,异质的视觉特征往往被利用得很差.
  • 管理和搜索庞大的图像存储库需要更有效的检索方法.

研究的目的:

  • 开发一个新的多功能适应性CBIR框架.
  • 通过智能融合深度和手工制作的功能来提高检索准确度.
  • 提高大规模图像搜索的效率和可靠性.

主要方法:

  • 结合了深层卷积特征与手工制作的低级别描述符.
  • 采用基于信息的融合和基于信任的权重系统,用于适应性特征集成.
  • 使用基于PageRank的相似性传播策略,以提高图像排名.

主要成果:

  • 拟议的框架显著提高了基准数据集的性能.
  • 与传统方法相比,平均平均精度 (mAP) 提高了8.6%.
  • 经过强有力的统计验证,Precision@10 (6.2%) 和NDCG@10 (7.4%) 显著增加.

结论:

  • 以值为驱动的自适应融合和排名精细化有效地解决了当前CBIR系统的局限性.
  • 该框架为实用,大规模的图像搜索提供了强大而可靠的解决方案.
  • 适应性方法确保在图像检索准确度方面持续提高性能.