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.

Библиографические подробности
Главные авторы:	Rafi, Abdullah Hasan Sajjad, Das, Arkadeep, Das, Moumita
Другие авторы:	Shakil, Arif
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Coronavirus Machine learning Neural network Genome sequences COVID-19 (Disease) > Data processing Coronavirus infections Neural networks (Computer science)
Online-ссылка:	http://hdl.handle.net/10361/22852

Схожие документы

Further precautions against coronavirus for the project
по: BUCG-ABC Joint Venture (BUCG-ABC JV)
Опубликовано: (2023)

Management of Diabetes patients during COVID-19
по: Pantho, G. M. Golam Mehebub
Опубликовано: (2021)

COVID-19: The next steps for the World
по: Mridha, Malay Kanti
Опубликовано: (2022)

Further precautions to be taken for coronavirus prevention
по: BUCG-ABC Joint Venture (BUCG-ABC JV)
Опубликовано: (2023)

Covid-19 disease effects on pregnancy: a review
по: Ahmed, MD Tanvir
Опубликовано: (2024)

Adaptation of the assessment processes and its impact on learners: during and post-Covid19 situation in Bangladesh
по: Tabassum, Rezuana
Опубликовано: (2023)

Parents’ perception regarding online learning for pre-schoolers during COVID-19 pandemic
по: Islam, Nabila
Опубликовано: (2021)

X-Ray classification to detect COVID-19 using ensemble model
по: Solaiman, Ishmam Ahmed, и др.
Опубликовано: (2021)

Slum Health: Arresting COVID-19 and Improving Well-Being in Urban Informal Settlements
по: Corburn, Jason, и др.
Опубликовано: (2022)

Principles of genome analysis and genomics /
по: Primrose, S. B.
Опубликовано: (2003)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
по: Khilji, Ishfaque Qamar, и др.
Опубликовано: (2021)

A review on the therapeutic design and challenges of potential COVID-19 vaccines
по: Ziad, Ahmed
Опубликовано: (2021)

Learning a deep neural network for predicting phishing website
по: Das, Robat, и др.
Опубликовано: (2019)

Seqdev: an algorithm for constructing genetic elements using comparative assembly
по: Rahman, Tasnim, и др.
Опубликовано: (2017)

A descriptive review on Monkeypox virus from past to present
по: Halder, Angelina Samantha
Опубликовано: (2024)

Application of cryo-EM method to study Covid-19 proteins
по: Akter, Farhana
Опубликовано: (2023)

Status of cognitive decline in post covid-19 Bangladeshi patients
по: Bapan, Pranta Saha
Опубликовано: (2024)

Online Teaching Methodology & Adaption at Capstone School Dhaka
по: Ahona, Tasfia Lamisa
Опубликовано: (2022)

Isolation of Lytic Bacteriophages from Environmental water samples specific to Vibrio cholerae; software-based analysis of whole-genome using bioinformatics tools
по: Arthi, Safwana Murshed
Опубликовано: (2021)

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
по: Hein, Aung Phyo
Опубликовано: (2023)

An introduction to neural networks /
по: Anderson, James A.
Опубликовано: (1995)

Genomic characterization of environmental Klebsiella pneumoniae through whole genome sequencing
по: Sharmin, Mehbooba
Опубликовано: (2024)

Crime scene prediction by detecting threatening objects using convolutional neural network
по: Nakib, Mohammad, и др.
Опубликовано: (2017)

Semantic text extraction from CAPTCHA using Neural Networking
по: Chowdhury, Iftekhar Kabir, и др.
Опубликовано: (2022)

Modelling option prices using neural networks
по: Nasim, Ahmed Zohair, и др.
Опубликовано: (2020)

Fundamentals of neural networks : architectures, algorithms, and applications /
по: Fausett, Laurene V.
Опубликовано: (1994)

Efficient image processing and machine learning approach for predicting retinal diseases
по: Hasib, Mehadi Hasan, и др.
Опубликовано: (2021)

Neural networks : a comprehensive foundation /
по: Haykin, Simon S., 1931-
Опубликовано: (1999)

Pneumonia Disease detection using the convolutional neural network
по: Ashrafee, Md. Iftid, и др.
Опубликовано: (2024)

An in depth analysis of neural network with application in finance
по: Tasnim, Noshin, и др.
Опубликовано: (2019)

A review on potential COVID-19 vaccines
по: Islam, Md. Rashedul
Опубликовано: (2021)

Literature review of prospective drugs for COVID-19
по: Hoque, Md. Ikramul
Опубликовано: (2021)

Visual speech recognition using artificial neural networking
по: Sharmili, Nowshin, и др.
Опубликовано: (2018)

Deep 3D convolutional neural network in early detection of Lung cancer
по: Hossain, Khandoker Jobayer, и др.
Опубликовано: (2019)

Analysis of uncertainty in different neural network structures using monte carlo dropout
по: Islam, Md. Farhadul, и др.
Опубликовано: (2024)

Currently available dosage forms and the route of administration of drugs for COVID-19 treatments
по: Ahmed, Hummam Abrar
Опубликовано: (2023)

Bangla license plate recognition using convolutional neural networks (CNN)
по: Rahman, M M Shaifur
Опубликовано: (2018)

Fundamentals of artificial neural networks /
по: Hassoun, Mohamad H.
Опубликовано: (1995)

Fuzzy-neural control : principles, algorithms, and applications /
по: Nie, Junhong
Опубликовано: (1995)

Exploring deep features: deeper fully convolutional neural network for image segmentation
по: Kamran, Sharif Amit, и др.
Опубликовано: (2017)