ARTIFICIAL INTELLIGENCE PREDICTION FOR THE COVID-19 DATA BASED ON LSTM NEURAL NETWORKS AND H2O AUTOML Back 8 月 24, 2026 by emily chan MetadataShare TitleARTIFICIAL INTELLIGENCE PREDICTION FOR THE COVID-19 DATA BASED ON LSTM NEURAL NETWORKS AND H2O AUTOML作者MARQUES, JOAO ALEXANDRE LOBO | GOIS, FRANCISCO NAUBER BERNARDO | XAVIER-NETO, JOSÉ | FONG, SIMON JAMESPUBLISH YEAR2020FACULTY / RESEARCH UNITFACULTY OF BUSINESS AND LAWDOCUMENT TYPEBook SectionPart ofPREDICTIVE MODELS FOR DECISION SUPPORT IN THE COVID-19 CRISISLANGUAGEENGLISHLink to Publisherhttps://doi.org/10.1007%2F978-3-030-61913-8_5 Continue browsing MULTI-VIEW CONVOLUTIONAL NEURAL NETWORK WITH LEADER AND LONG-TAIL PARTICLE SWARM OPTIMIZER FOR ENHANCING HEART DISEASE AND BREAST CANCER DETECTION EPIDEMIOLOGY COMPARTMENTAL MODELS—SIR, SEIR, AND SEIR WITH INTERVENTION Back to items list