AI-powered model enhances atmospheric calibration precision for astronomical observation and geodetic measurement by Zhang Nannan, Chinese Academy of Sciences edited by Lisa Lock, reviewed by Robert ...
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AI-powered model enhances atmospheric calibration precision for astronomical observation and geodetic measurement
Using multi-year GNSS and meteorological data obtained from the NanShan 26-meter Radio Telescope, the researchers led by LI Mingshuai developed the deep learning model combining a Gated Recurrent Unit ...
Abstract: The operational reliability of an autonomous robot depends crucially on extrinsic sensor calibration as a prerequisite for precise and accurate data fusion. Exploring the calibration of ...
Abstract: Generalized zero-shot learning (GZSL) aims at training a model that can generalize to unseen class data by only using auxiliary information. One of the main challenges in GZSL is a biased ...
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