Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation

BackgroundIn megacities, there is an urgent Tweed Breeks need to establish more sensitive forecasting and early warning methods for acute respiratory infectious diseases.Existing prediction and early warning models for influenza and other acute respiratory infectious diseases have limitations and therefore there is room for improvement.ObjectiveThe

read more

An Improved Method for Accurate Extraction of Coupling Coefficient Between a Lossy Radiator and a Lossless Resonator in Filtering Antennas

A unique method for accurate extraction of coupling coefficient between a lossy radiator and a lossless resonator is proposed in this paper to facilitate the synthesis design of filtering antennas.To remove the parasitic effect of the radiation loss in extraction of coupling coefficient, the network parameters of the coupled resonators in lossless

read more