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.
The quantitative variation of defect contrast as a function of experimental parameters in SEM-CCM measurements has been investigated experimentally.
Ta2O5 is a candidate for use in metal-oxide-metal (MOM) capacitors in several areas of silicon device technology.
Native defects play an important role in compound semiconductors. Their relative abundance is controlled by nonstoichiometry and thermodynamic considerations.
