A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm-Reference-Cited by-同舟云学术

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A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data and Smart Computing (BigComp)
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Author:

Jha Preeti¹,Tiwari Aruna¹,Bharill Neha²,Ratnaparkhe Milind³,Patel Om Prakash²,Harshith Nilagiri²,Solasa Soundarya Lahari⁴

Affiliation:

1. Indian Institute of Technology Indore,Computer Science and Engineering,Indore,India

2. Mahindra University,Computer Science and Engineering,Hyderabad,India

3. Biotechnology ICAR-IISR,Indore,India

4. Mahindra University,Electrical and Electronics,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9736461/9736469/09736502.pdf?arnumber=9736502

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Protein Sequences of COVID-19 Using Machine Learning and Deep Learning Approaches;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

2. Research on Appearance Detection, Sorting, and Regrouping Technology of Retired Batteries for Electric Vehicles;Sustainability;2023-11-01

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