TRANSFER LEARNING-BASED HEALTH MONITORING OF ROBOTIC ROTATE VECTOR REDUCER UNDER VARIABLE WORKING CONDITIONS



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 become one of the research priorities.In this Spoons paper, a new method, BIR-CNN, is proposed

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