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 Skin Lotion of an efficient and reliable method for classifying malware has become one of the research priorities.In this paper, a new method, BIR-CNN, is pro

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How Much Public Space Is Our Space?

As choreographer of dance group Vloeistof, specialized in public space, I chose to publish a journal written by dancer Izah Hankammer during the master-workshop program Making Space in Tilburg 2017.Making Space is a collaboration OREGANUM PLUS 1:3 of Fontys University of the Arts in Tilburg and Dans Brabant, an organization for dance and choreograp

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A Novel Method with Dilute Surfactant Flooding by Considering the Effect of Time and Temperature on Crude Oil Aging, Experimental Study on Heavy Oil of Bangestan

Wettability alteration has been a sophisticated issue for scientists and reservoir engineers since early 20th century; thus, many investigations have been carried out to determine wettability and enhance it to ideal conditions, which leads to improvement in oil recovery.Dilute surfactant flooding has been approved as one of the noteworthy methods i

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