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Data Science for COVID-19 Volume 1

Computational Perspectives

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2021
ISBN13: 9780128245361
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Juridisch :
Elsevier Science e druk, 2021 9780128245361
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Samenvatting

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.

Specificaties

ISBN13:9780128245361
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Predictive models to the COVID-19<br>2. An AI Based Decision Support and Resource Management System for COVID-19 Pandemic<br>3. Normalizing Images is Good to Improve Computer-Assisted COVID-19 Diagnosis<br>4. Detection and Screening of COVID-19 Through Chest CT Radiographs Using Deep Neural Networks<br>5. Differential Evolution to improve the effectiveness of the epidemiological SEIR model enhanced with dynamic social distancing: the case of COVID-19 and Italy<br>6. Limitations and Challenges on the Diagnosis of COVID-19 Using Radiology Images and Deep Learning<br>7. Deep Convolutional Neural Network Based Image Classification for Covid-19 Diagnosis<br>8. Statistical Machine Learning Forecasting Simulation for Discipline Prediction and Cost Estimation of COVID-19 Pandemic<br>9. Application of Machine Learning for the Diagnosis of COVID-19<br>10. PwCOV in Cluster Based Web Server: An Assessment of Service Oriented Computing for COVID-19 Disease Processing System<br>11. COVID-19-affected Medical Image Analysis using Denser Net<br>12. uTakeCare: unlock full decentralization of personal data for a respectful decontainment in the context of COVID-19: toward a digitally empowered anonymous citizenship<br>13. COVID-19 Detection from Chest X-Rays Using Transfer Learning with Deep CNN<br>14. Lexicon Based Sentiment Analysis Using Twitter Data: A Case of COVID-19 Outbreak in India and Abroad<br>15. Real time social distancing alerting and contact tracing using image processing<br>16. Machine Learning Models for Predicting Survivability in COVID-19 Patients<br>17. Robust and Secured Telehealth System for COVID-19 Patients<br>18. A Novel Approach to Predict COVID-19 Using Support Vector Machine<br>19. An Ensemble Predictive Analytics of Covid-19 Infodemic Tweets Using Bag of Words<br>20. Forecast & Prediction of Covid-19 Using Machine Learning<br>21. Time Series Analysis of the COVID-19 Pandemic in Australia using Genetic Programming<br>22. Image Analysis and Data Processing for COVID-19<br>23. A Demystifying Convolutional Neural Networks using Gradcam for Prediction of Coronavirus Disease (Covid-19) On X-Ray Images<br>24. Transfer Learning Based Convolutional Neural Network for Covid-19 Detection with X-Ray Images<br>25. Computational Modelling of the Pharmacological actions of some anti-viral agents against SARS-CoV-2<br>26. Mobile Technology Solutions for COVID-19: RSSI-based COVID-19 mobile app to comply with social distancing using bluetooth signals from smartphones<br>27. COVID-19 Pandemic in India: Forecasting Using Machine Learning Techniques<br>28. Mathematical Recipe for Curbing Corona Virus (Covid-19) Transmition Dynamics<br>29. Sliding Window Time Series Forecasting with Multi-Layer Perceptron and Multi Regression of COVID-19 outbreak in Malaysia<br>30. A Two-Level Deterministic Reasoning Pattern to Curb the Spread of Covid-19 in Africa<br>31. Data-driven approach to covid-19 infection forecast in Nigeria using negative binomial regression model<br>32. A Novel Machine Learning Based Detection and Diagnosis Model for Corona Virus Disease (Covid-19) using Discrete Wavelet Transform (DWT) with Rough Neural Network (RNN)<br>33. Artificial Intelligence Based Solutions for Early Identification and Classification of COVID-19 and Acute Respiratory Distress Syndrome<br>34. Internet of Medical Things (IoMT) with Machine Learning based COVID-19 Diagnosis Model using Chest X-Ray Images<br>35. The growth of COVID-19 in Spain. A view based on time-series forecasting methods<br>36. On Privacy Enhancement Using u-Indistinguishability to COVID19 Contact Tracing Approach in Korea<br>37. Scheduling Shuttle Ambulance Vehicles for COVID-19 Quarantine Cases, A Multi-objective Multiple 0-1 Knapsack Model with A Novel Discrete Binary Gaining-Sharing knowledge-based Optimization Algorithm

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        Data Science for COVID-19 Volume 1