Litcius/Paper detail

Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019

Chiou‐Jye Huang, Yamin Shen, Ping‐Huan Kuo, Yung‐Hsiang Chen

2020Socio-Economic Planning Sciences38 citationsDOIOpen Access PDF

Topics & Concepts

Convolutional neural networkCoronavirus disease 2019 (COVID-19)OutbreakMean squared errorMean absolute errorComputer scienceArtificial neural networkPandemicArtificial intelligenceMean absolute percentage errorSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)StatisticsGeographyPattern recognition (psychology)Operations researchDiseaseMathematicsMedicineVirologyPathologyInfectious disease (medical specialty)COVID-19 epidemiological studiesCOVID-19 diagnosis using AIAnomaly Detection Techniques and Applications
Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019 | Litcius