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Updated: Jan 29, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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适应性低光图像增强使用间隔值直观模糊集通过爬行动物搜索算法优化

Haripriya Yogambaram1, M Sivabalakrishnan2, S Balaji1

  • 1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India.

Frontiers in artificial intelligence
|January 28, 2026
PubMed
概括

本研究介绍了一种使用间隔值直观模糊集和爬行动物搜索算法的增强低光图像增强模型. 该方法显著提高了医疗和自主系统的图像清晰度,亮度和结构细节.

关键词:
在HSV的颜色空间中.间隔值的直觉模糊集 间隔值的直觉模糊集爬行动物搜索算法爬行动物搜索算法衡量的方法是.在低光下增强低光增强.

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