Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rafi, Abdullah Hasan Sajjad, Das, Arkadeep, Das, Moumita
مؤلفون آخرون:	Shakil, Arif
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Coronavirus Machine learning Neural network Genome sequences COVID-19 (Disease) > Data processing Coronavirus infections Neural networks (Computer science)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/22852

مواد مشابهة

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Knowledge and practice on Covid-19 : a practicum on Covid-19 preventive knowledge and practice among the male and female students from 6th-9th standards of schools and from equivalent grade levels of madrasas in sadar and Pekua upazillas of Cox’s Bazar district, Bangladesh
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An introduction to neural networks /
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Genomic characterization of environmental Klebsiella pneumoniae through whole genome sequencing
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Neural networks : a comprehensive foundation /
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Pneumonia Disease detection using the convolutional neural network
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