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Updated: Jan 10, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
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Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

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用机器学习方法优化紧的碎形单极天线与部分碎形接地,用于多频段应用程序

Guntamukkala Yaminisasi1, Pokkunuri Pardhasaradhi1, Satti Sudha Mohan Reddy2

  • 1Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, 522502, Andra Pradesh, India.

Scientific reports
|November 25, 2025
PubMed
概括

机器学习,使用高斯过程回归 (GPR) 和支持向量回归 (SVR),优化了紧的微条带天线设计,以实现多频段操作. 与传统的天线设计方法相比,这种方法减少了计算力度.

关键词:
对天线进行优化.紧的微条纹天线.电磁仿真是一种电磁仿真.高斯过程回归的高斯过程回归.创新和基础设施) 和可持续发展目标12 (负责任的消费和生产).机器学习 机器学习多频段运行操作 多频段运行可持续发展目标9 (产业)支持矢量回归的支持矢量回归

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