Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling

保存先:

書誌詳細
出版年:	Remote Sensing vol. 17, no. 2 (2025), p. 264
第一著者:	Qu, Zhijie
その他の著者:	Gao, Yuan, Kang, Xing, Zhang, Xiaojuan
出版事項:	MDPI AG
主題:	Finite element method Environmental monitoring Geophysical exploration Accuracy Geological mapping Data processing Deep learning Datasets Modelling Magnetic fields Finite difference time domain method Electromagnetic fields Remote sensing Spatial discrimination Computer applications Modules Electrical resistivity Long short-term memory Python Adaptability Efficiency Geology Machine learning Simulation Exploration Artificial intelligence Fourier transforms Spatial memory Spatial resolution Neural networks High resolution Methods Finite element analysis Information processing Algorithms Real time Subsurface mapping Software
オンライン･アクセス:	Citation/Abstract Full Text + Graphics Full Text - PDF
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

このレコードへの初めてのコメントを付けませんか!