Object Detection in Aerial Photos Using Neural Networks in this paper described the extension of this method. It’
s an algorithm that allows post processing of data
Ni self-organized balls as a promising energy storage materialLevshanov, A. A.,
Davydova, O. I.,
Ivanov, Vladimir K.,
Agafonov, A. V.,
Vinogradov, A. V.,
Grishina, E. P. of 2 mV/
s, which is higher in terms of mass of a surfactant layer than previously reported for other
Convolutional Neural Networks for the Segmentation of Multispectral Earth Remote Sensing Images approaches and also presented a comparison of segmentation results. © 2021, The Author(
s), under exclusive