© 2021 Chinese Laser Press We propose a plug-and-play (PnP) method that uses deep-learning-based denoisers as regularization priors for spectral snapshot compressive imaging (SCI).
Software Defined Networking (SDN) is gaining momentum not only in research but also in IT industry representing the drivers of 5G networks, due to its capabilities of increasing the flexibility of
The centralization of network intelligence provided by decoupling the intelligence plane from the forwarding plane enabled by Software Defined Networking, and the recent breakthroughs of machine le
Network slicing, a key enabler for future wireless networks, divides a physical network into multiple logical networks that can be dynamically created and configured.
Deep learning techniques are widely used to model human visual saliency, to such a point that state-of-the-art performances are now only attained by deep neural networks.
AlGaN/GaN high electron mobility transistors are investigated by DLTS measurements.
The random copolymer comprised to trimethylsilymethyl methacrylate, SI and chloromethylstyrene, CMS, is known to function as a negative acting deep UV resist.
As integrated circuit technology becomes more sophisticated, greater demands are placed on the resist materials used in the lithographic pattern definition process.
Media forensics has attracted a tremendous attention in the last years in part due to the increasing concerns around DeepFakes.
© 1999-2012 IEEE. Recently, many models have been developed to predict video Quality of Experience (QoE), yet the applicability of these models still faces significant challenges.