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Girish Kumar Jha has worked on 19 packages so far. In total, Girish Kumar Jha has worked with 19 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| CoreMicrobiomeR | Identification of Core Microbiome Sorna A M , Mohammad Samir Farooqi , Dwijesh Chandra Mishra , Krishna Kumar Chaturvedi , Anu Sharma , Prawin Arya , Sudhir Srivastava , Sharanbasappa , Girish Kumar Jha , Kabilan S |
| ECTTDNN | Cointegration Based Timedelay Neural Network Model Pankaj Das , Achal Lama , Girish Kumar Jha |
| 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 |
| EMDANNhybrid | Empirical Mode Decomposition Based Artificial Neural Network Model Pankaj Das , Achal Lama , Girish Kumar Jha |
| EMDSVRhybrid | Empirical Mode Decomposition Based Support Vector Regression Model Pankaj Das , Achal Lama , Girish Kumar Jha |
| MARSANNhybrid | MARS Based ANN Hybrid Model Pankaj Das , Achal Lama , Girish Kumar Jha |
| MSGARCHelm | Hybridization of MS-GARCH and ELM Model Rajeev Ranjan Kumar , Girish Kumar Jha , Neeraj Budhlakoti |
| SBAGM | Search Best ARIMA, GARCH, and MS-GARCH Model Rajeev Ranjan Kumar , Girish Kumar Jha , Dwijesh C. Mishra , Neeraj Budhlakoti |
| TSdeeplearning | Deep Learning Model for Time Series Forecasting Ronit Jaiswal , Girish Kumar Jha , Rajeev Ranjan Kumar , Kapil Choudhary |
| VMDML | Variational Mode Decomposition Based Machine Learning Models Pankaj Das , Girish Kumar Jha , Tauqueer Ahmad , Achal Lama , Lampros Mouselimis |
| 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 |