Litcius/Paper detail

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

Abdelhafid Zeroual, Fouzi Harrou, Abdelkader Dairi, Ying Sun

2020Chaos Solitons & Fractals506 citationsDOIOpen Access PDF

Topics & Concepts

AutoencoderDeep learningComputer scienceRecurrent neural networkArtificial intelligenceCoronavirus disease 2019 (COVID-19)Time seriesMachine learningLong short term memoryArtificial neural networkMedicinePathologyInfectious disease (medical specialty)DiseaseCOVID-19 epidemiological studiesCOVID-19 diagnosis using AIAnomaly Detection Techniques and Applications
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study | Litcius