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Classification of The Weather Images With The Proposed Hybrid Model Using Deep Learning, SVM Classifier, and MRMR Feature Selection Methods by AHMET ÇINAR is a document available to read on EtoBox.

What is Classification of The Weather Images With The Proposed Hybrid Model Using Deep Learning, SVM Classifier, and MRMR Feature Selection Methods about?

The study presents a hybrid model for classifying weather images using deep learning, SVM classifiers, and mRMR feature selection methods, achieving an accuracy of 97.3%. The model utilizes popular CNN architectures like MobilenetV2, Densenet201, and Efficientnetb0 for feature extraction, which are then optimized and classified using SVM. The research highlights the effectiveness of combining features from different CNN architectures for improved classification performance.

Author

AHMET ÇINAR

Language

EN