Article Under Review

When transferring the pre-trained product, part of the model is frozen. The frozen layers are commonly the bottom with the neural network, as They are really regarded as to extract standard attributes. The parameters from the frozen layers will not update through training. The rest of the layers aren't frozen and therefore are tuned with new knowle

?????????????????????????????????????????????????????????????? ?? ??????? ????????, ????? ???? ???? ?? ???????????? ???? ?? ???? ?????????? ?? ?????????The inputs from the SVM are manually extracted functions guided by Bodily mechanism of disruption42,43,44. Options made up of temporal and spatial profile information are extracted based on the doma

Article Under Review

Article Under Review