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Hybrid Classification Model using CNN & SVM for Seven Wonders of the World | IEEE Conference Publication | IEEE Xplore

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World


Abstract:

Deep learning approach provides a whole lot of spectrums of applications to classify and analyze problems. To address categorization difficulties, deep learning is an exc...Show More

Abstract:

Deep learning approach provides a whole lot of spectrums of applications to classify and analyze problems. To address categorization difficulties, deep learning is an excellent option. Using micro services, big data, virtual and augmented reality, and deep learning, a new study field has emerged in contemporary technology. Image categorization has seen a radical transformation as a result of advances in processing power, such as deep learning applications based on MobileNet(CNN). Based on this deep learning approach hybrid Classification model is developed using Convolution Neural Network and Support Vector Machine. The proposed system helps to identify new seven wonders of the world. Using a secondary source dataset, the experiment has been conducted while achieving an accuracy of 93%. This study helps to develop a future model of classification of images and produce their descriptions.
Date of Conference: 06-08 July 2023
Date Added to IEEE Xplore: 23 November 2023
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Conference Location: Delhi, India

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