Intelligent Computing Applications for COVID-19

9 A Deep Learning CNN Model for Genome Sequence Classification

Hemalatha Gunasekaran, K. Ramalakshmi, Shalini Ramanathan, and R. Venkatesan

Contents

1. 9.1 Introduction
   1. 9.1.1 DNA and its Structure
2. 9.2 Literature Survey
3. 9.3 Proposed Method
   1. 9.3.1 ML Classification Models
   2. 9.3.2 NLP Technique
   3. 9.3.3 DL Model for Classification
      1. 9.3.3.1 Convolutional Layer
      2. 9.3.3.2 Pooling Layer
      3. 9.3.3.3 Fully Connected Layer
4. 9.4 Results and Discussions
   1. 9.4.1 Input
   2. 9.4.2 Results
5. 9.5 Conclusion and Future Work
6. References

9.1 Introduction

The world has seen many types of virus, such as Ebola, Nipah, SARS, MERS, influenza B, rotavirus, hepatitis, HIV, and coronavirus. Some newly discovered viruses have been recognized in the recent past because of the sudden appearance of a new disease. Therefore, ...