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• W1505145919 abstract "Machine learning has recently found many applications in aerospace and remote sensing. These applications range from bias correction to retrieval algorithms, from code acceleration to detection of disease in crops. As a broad subfield of artificial intelligence, machine learning is concerned with algorithms and techniques that allow computers to “learn”. The major focus of machine learning is to extract information from data automatically by computational and statistical methods. Over the last decade there has been considerable progress in developing a machine learning methodology for a variety of Earth Science applications involving trace gases, retrievals, aerosol products, land surface products, vegetation indices, and most recently, ocean products (" @default.
• W1505145919 created "2016-06-24" @default.
• W1505145919 creator A5006358132 @default.
• W1505145919 date "2010-01-01" @default.
• W1505145919 modified "2023-10-03" @default.
• W1505145919 title "Artificial Intelligence in Aerospace" @default.
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• W1505145919 doi "https://doi.org/10.5772/6941" @default.
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