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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetl…
Noise profoundly affects the quality of electromagnetic data, and selecting the appropriate hyperparameters for machine learning models poses a significant challenge. Consequently, the current machine learning denoising techniques fall short in delivering precise processing of Wide Field Electromagnetic Method (WFEM) data. To eliminate the noise, this paper presents an electromagnetic data deno…
- Edisi
- Vol.15, Issue 1, January 2025
- ISBN/ISSN
- 2076-3263
- Deskripsi Fisik
- 21 hlm PDF, 3,240 KB
- Judul Seri
- Geosciences
- No. Panggil
- 550
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