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Hardcover Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis Book

ISBN: 303079752X

ISBN13: 9783030797522

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic

Pramit Pandit, K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi, Rahul Thangeda, Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, K. K. Mishra, Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

Chapter 8: Machine learning approaches for COVID 19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 9: Smart sensing for COVID 19 Pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters

Arianne Sarmento Torcate, Fl?vio Secco Fonseca, Ant?nio Ravely. T. Lima, Flaviano Palmeira Santos, T?ssia D. Muniz S. Oliveira, Ma?ra Ara?jo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos

Chapter 12: Bioinformatics in Diagnosis of Covid-19

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques

Bhimavarapu Usharani

Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data

Sitanath Biswas, Sujata Dash

Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning

Ma?ra Ara?jo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Jonathan Bandeira, M?user Jorge Silva Valen?a, Ricardo Emmanuel de Souza, Aras Ismael Masood, Wellington Pinheiro dos Santos

Chapter 16: Analysis of Blockchain Backed Covid19 Data

Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram

Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review

Clarisse Lins de Lima, Ana Clara Gomes da Silva, Cecilia Cordeiro da Silva, Giselle Machado Magalh?es Moreno, Abel Guilhermino da

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