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Kapil Choudhary has worked on 11 packages so far. In total, Kapil Choudhary has worked with 6 other authors on those packages. A true team player!
Packages overview
Package details
| EEMDSVR | Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model Pankaj Das , Kapil Choudhary , Girish Kumar Jha , Achal Lama |
| EEMDelm | Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model Girish Kumar Jha , Kapil Choudhary , Rajeev Ranjan Kumar , Ronit Jaiswal |
| EEMDlstm | EEMD Based LSTM Model for Time Series Forecasting Kapil Choudhary , Girish Kumar Jha , Ronit Jaiswal , Rajeev Ranjan Kumar |
| TSdeeplearning | Deep Learning Model for Time Series Forecasting Ronit Jaiswal , Girish Kumar Jha , Rajeev Ranjan Kumar , Kapil Choudhary |
| decompDL | Decomposition Based Deep Learning Models for Time Series Forecasting Kapil Choudhary , Girish Kumar Jha , Ronit Jaiswal , Rajeev Ranjan Kumar |
| eemdARIMA | EEMD Based Auto Regressive Integrated Moving Average Model Rajeev Ranjan Kumar , Girish Kumar Jha , Kapil Choudhary , Ronit Jaiswal |
| eemdTDNN | EEMD and Its Variant Based Time Delay Neural Network Model Kapil Choudhary , Girish Kumar Jha , Rajeev Ranjan Kumar , Ronit Jaiswal |
| stlARIMA | STL Decomposition and ARIMA Hybrid Forecasting Model Ronit Jaiswal , Girish Kumar Jha , Rajeev Ranjan Kumar , Kapil Choudhary |
| stlELM | Hybrid Forecasting Model Based on STL Decomposition and ELM Girish Kumar Jha , Ronit Jaiswal , Kapil Choudhary , Rajeev Ranjan Kumar |
| stlTDNN | STL Decomposition and TDNN Hybrid Time Series Forecasting Girish Kumar Jha , Ronit Jaiswal , Kapil Choudhary , Rajeev Ranjan Kumar |
| vmdTDNN | VMD Based Time Delay Neural Network Model Kapil Choudhary , Girish Kumar Jha , Rajender Parsad , Ronit Jaiswal |