Development of an application for recognizing mathematical formulas using convolutional neural networks-Reference-Cited by-同舟云学术

Development of an application for recognizing mathematical formulas using convolutional neural networks

Published:2024-03-15 Issue: Volume: Page:1-6
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Container-title:2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT)
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Author:

Zareen Afshan¹,Kaur Kuljeet²,Savsani Mayur V.³,Parikh Swapnil⁴,Patil Harshal⁵,Maranan Ramya⁶

Affiliation:

1. BGS Institute of Technology Adichunchanagiri University,Department of Computer Science and Engineering,Mandya,Karnataka,India,571 448

2. Graphic Era Deemed to be University,Department of Management,Dehradun,Uttarakhand,India,248002

3. H & H. B. Kotak Institute of Science,Dr. Yagnik Road,Department of Statistics,Rajkot,Gujarat,India,360001

4. Parul Institute of Engineering and Technology Parul University,Department of Computer Science and Engineering,Waghodia,Gujarat,India,Post Limda391760

5. Symbiosis Institute of Technology Symbiosis International (Deemed University),Department of Computer Science and Engineering,Pune,Maharashtra,India,412 115

6. Saveetha School of Engineering, SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579969/10579987/10580119.pdf?arnumber=10580119

Reference15 articles.

1. Classification Method of Ethnic Minority Patterns Based on Faster R-CNN

2. Object Detection from the Video Taken by Drone via Convolutional Neural Networks

3. Channel Compression Optimization Oriented Bus Passenger Object Detection

4. Underwater targets detection and classification in complex scenes based on an improved YOLOv3 algorithm

5. RSANet: Towards Real-Time Object Detection with Residual Semantic-Guided Attention Feature Pyramid Network