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Abstract: We propose a machine learning-based method that estimates a 3-D seismic volume from irregularly placed 2-D seismic lines, addressing the challenges regarding the local disturbances contained ...
Abstract: The increasing complexity and volume of plasma fusion experimental data, coupled with the growing adoption of machine learning in fusion research, necessitate advanced and efficient data ...
The insurance industry is no stranger to change, but few innovations have sparked as much transformation as machine learning (ML). In recent years, ML has revolutionized property and casualty (P&C) ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...