Litcius/Paper detail

E2LG: a multiscale ensemble of LSTM/GAN deep learning architecture for multistep-ahead cloud workload prediction

Peyman Yazdanian, Saeed Sharifian

2021The Journal of Supercomputing58 citationsDOI

Topics & Concepts

Computer scienceCloud computingWorkloadArtificial intelligenceDeep learningMachine learningHilbert–Huang transformTime seriesData miningAlgorithmFilter (signal processing)Computer visionOperating systemTraffic Prediction and Management TechniquesTime Series Analysis and ForecastingAir Quality Monitoring and Forecasting
E2LG: a multiscale ensemble of LSTM/GAN deep learning architecture for multistep-ahead cloud workload prediction | Litcius