STATISTICAL CHARACTERISTICS OF NIGHTTIME MEDIUM‐SCALE TRAVELING IONOSPHERIC DISTURBANCES FROM 10‐YEARS OF AIRGLOW OBSERVATION BY THE MACHINE LEARNING METHOD

Abstract For the first time, we used the machine learning method to analyze the statistical occurrence and propagation characteristics of nighttime medium‐scale traveling ionospheric disturbances (MSTIDs) from October 2011 to December 2021 observed by the all‐sky airglow imager deployed at Xinglong (40.4°N, 117.6°E, Stock Saddle Girths 30.5°

Single units that are not related to the desired task can become related to the task by conditioning their firing rates.We theorized that, during conditioning of firing rates to a tone, (a) unrelated single units would be recruited to the task; (b) the recruitment would depend on the phase of the task; (c) tones of different frequencies would Shot

Instance-level image translation aims to only translate instance of interest and can be operated more finely and flexibly than object-level and holistic-level image translation.However, current algorithms are not suitable to do it since they employ a holistic or object level’s discriminator that tends to change the whole image or all instanc

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