Deep Neural Network-Based Interpretation of Frequency-Domain Electromagnetic Data: Dual Output of 2D Resistivity Models and Electromagnetic Data

Improving generalization performance of deep learning?based seismic data interpolation

Transfer Learning-Based Seismic Phase Detection Algorithm for Distributed Acoustic Sensing Microseismic Data

Three-dimensional inversion of controlled-source electromagnetic data using general measures to evaluate data misfits and model structures

Near-Offset Gap Trace Extrapolation Based on Self-Supervised Learning

Machine learning-based time-lapse 1D seismic full-waveform inversion with efficient training data generation in a carbon capture and storage monitoring

Deep-learning-based airborne transient electromagnetic inversion providing the depth of investigation

Cross-Streamer Wavefield Reconstruction of a Towed Streamer System Using Bidirectional LSTM Networks With a Traces-to-Trace Approach

Improved lithospheric seismic velocity and density model of the Korean Peninsula from ambient seismic noise data using machine learning

Interpretation of Frequency-Domain Airborne Electromagnetic Data Based on the Deep Neural Network Incorporating Topographic Information