Presented in this paper is a revolutionary deep learning-based architecture for reducing the noise generated during Magnetic Resonance Imaging (MRI) scans. The proposed differs from usual adaptive algorithms used Active Noise Control (ANC). In present work, we are exploring use of Deep Convolutional Artificial Networks to recognize advanced sounds. By applying DL-NN 513-time segment, 180-degree...

Software-defined network (SDN) becomes a new revolutionary paradigm in networks because it provides more control and operation over infrastructure. The SDN controller is considered as the operating system of based infrastructure, responsible for executing different applications maintaining services functionalities. Despite all its tremendous capabilities, face many security issues due to comple...