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.
Motivated by the prowess of deep learning (DL) based techniques in prediction, generalization, and representation learning, we develop a novel framework called DeepQoE to predict video quality of e
We present DeepRadar, a novel deep-learning-based environmental sensing capability system for detecting radar signals and estimating their spectral occupancy.
Deep learning has solved many problems that are out of reach of heuristic algorithms.
While distributed application-layer tracing is widely used for performance diagnosis in microservices, its coarse granularity at the service level limits its applicability towards detecting more fi
Machine learning algorithms have become widely popular in wireless communications.
Deep learning has revolutionized the way sensor measurements are interpreted and application of deep learning has seen a great leap in inference accuracies in a number of fields.
Various defect arrays are characterized in silicon following the implantation and annealing of amorphous layers.
