Genetic Signal Processing for Categorizing Genomic Data using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Genetic Signal Processing for Categorizing Genomic Data using Convolutional Neural Networks

Published:2023-10-20 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

Pulicherla Padmaja¹,Aluvala Srinivas²,Premchander Munimanda³,Sai Sudha Poranki V L R N⁴,Revanasiddappa ⁵

Affiliation:

1. Institute of Technology and Management,Department of CSE,Hyderabad,India

2. SR University,School of Computer Science & Artificial Intelligence,Warangal,India

3. Malla Reddy Engineering College for Women,IT Department,Hyderabad,India

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaadeswaram,India

5. Nitte Meenakshi Institute of Technology,Department of AI and ML,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10392916.pdf?arnumber=10392916

Reference22 articles.

1. A fast and efficient algorithm for DNA sequence similarity identification

2. DeepCOVID-19: A model for identification of COVID-19 virus sequences with genomic signal processing and deep learning

3. Digital Production and Artificial Intelligence in the Aircraft Industry

4. M-FFN: multi-scale feature fusion network for image captioning

5. Survey on encoding schemes for genomic data representation and feature learning—from signal processing to machine learning

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