Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites-Reference-Cited by-同舟云学术

Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Mehta Shiva¹,Kukreja Vinay¹,Bordoloi Dibyahash²

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10308174.pdf?arnumber=10308174

Reference14 articles.

1. Crack Detection in Masonry Structures using Convolutional Neural Networks and Support Vector Machines

2. Ancient coin classification based on recent deep learning trends;manzoor;International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding VIPERC,2022

3. Pixel level segmentation of early-stage in-bag rice root for its architecture analysis

4. Hybrid CNN-SVM Classifier for Handwritten Digit Recognition

5. Egyptian Shabtis Identification by Means of Deep Neural Networks and Semantic Integration with Europeana

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