CONVOLUTION NEURAL NETWORK WITH BATCH NORMALIZATION AND INCEPTION-RESIDUAL MODULES FOR ANDROID MALWARE CLASSIFICATION

Convolution neural network with batch normalization and inception-residual modules for Android malware classification

Abstract Deep learning technology is changing the landscape of cybersecurity research, especially the study of large amounts of data.With the rapid growth in the number of malware, developing of an efficient and reliable method for classifying malware has smith 4d mag alpine green become one of the research priorities.In this paper, a new method, B

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Sun Glint Correction of High and Low Spatial Resolution Images of Aquatic Scenes: a Review of Methods for Visible and Near-Infrared Wavelengths

Sun glint, the specular reflection of light from water surfaces, is a serious confounding factor for remote sensing of water column properties and benthos.This paper reviews current techniques to estimate and remove the glint radiance component timbren gmfk25s from imagery.Methods for processing of ocean color images use statistical sea surface mod

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