Min Yin
China
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Computer Science > Artificial Intelligence
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Fast and High-Resolution Imaging of Semi-Airborne Frequency Tipper Sounding Method for Mineral Exploration
You are already at the latest version The Semi-airborne frequency tipper sounding method (SFTS) based on tipper characteristics exhibits high lateral and vertical resolution, making it a promising technique for deep mineral exploration, particularly in challenging terrains where conventional ground-based electromagnetic methods face accessibility constraints. Currently, interpretation techniques for this method remain underdeveloped, limiting its practical application in mineral prospecting.
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