Deep Learning Based Bagged CNN with Whale Optimization Algorithm to Forecast the Productivity of Rice Crop using Soil Nutrients
Author:
Affiliation:
1. Galgotias University,SCSE,Greater Noida,U.P.,India
2. Symbiosis International (Deemed University),Symbiosis Institute of Computer Studies and Research (SICSR),Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10465674/10465681/10465878.pdf?arnumber=10465878
Reference19 articles.
1. Deep Learning CNN-Based Hybrid Extreme Learning Machine with Bagging Classifier for Automatic Modulation Classification;Indira;International Journal of Intelligent Systems and Applications in Engineering,2022
2. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI
3. Deep Learning CNN-Based Hybrid Extreme Learning Machine with Bagging Classifier for Automatic Modulation Classification;Indira;International Journal of Intelligent Systems and Applications in Engineering,2022
4. Ensemble Averaging of Transfer Learning Models for Identification of Nutritional Deficiency in Rice Plant
5. Hybrid CNN-SVM Classifier Approaches to Process Semi-Structured Data in Sugarcane Yield Forecasting Production
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