Autor: Bhardwaj, Rakesh
- NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
- Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
- Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
- Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
- Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in Lablab Bean (Lablab purpureus L.) Germplasm
- NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
Autor: Kumar, Amit
- NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
- Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
- Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
- Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
- Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in Lablab Bean (Lablab purpureus L.) Germplasm
- NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
Ejemplares similares: NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
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- Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
- Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
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- NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
- Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in Lablab Bean (Lablab purpureus L.) Germplasm
Ejemplares similares: Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy
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- NIRS-based prediction modeling for nutritional traits in Perilla germplasm from NEH Region of India: Comparative chemometric analysis using mPLS and deep learning
- NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
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