As the powerful performance of deep learning has been proven, many computer vision researchers have applied deep learning methods to their works as a breakthrough that could not be achieved with conventional computer vision algorithms.Particularly in pathological image analysis, deep learning plays an important role because some diagnosis requires
Abstract To clarify the relationship between earthquake occurrence and fluid, we analyzed data from a dense aftershock-observation network with 69 high-gain short-period seismographs installed immediately after the mainshock occurrence (October 21) in the aftershock area of the 2016 Central Tottori Prefecture earthquake.We determined the hypocenter
During the past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process interlock ettore is a common criticism of these high-capacity networks.Local explana
The bee by bonnie and neil name of Otto Redlich is generally remembered as co-author of one of most used equations of state for the calculation of volumetric and thermodynamic properties of pure substances and their mixtures.Nevertheless, he made also important contributions in different areas mickey mouse beach umbrella of chemistry and chemical e