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Network Intrusion Detection Systems: A Systematic Literature Review of Hybrid Deep Learning Approaches
(2022-06)
Network Intrusion Detection Systems (NIDSs) have become standard security solutions that endeavours to discover unauthorized access to an organizational computer network by scrutinizing incoming and outgoing network traffic ...
A Comparative Study of Deep Learning and Transfer Learning in Detection of Diabetic Retinopathy
(2022)
Computer vision has gained momentum in medical imaging tasks. Deep learning and Transfer learning are some of the approaches used in computer vision. The aim of this research was to do a comparative study of deep learning ...