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Emerging Technologies for Combatting Pandemics 1st Edition 2022 Hardbound at Meripustak

Emerging Technologies for Combatting Pandemics 1st Edition 2022 Hardbound by Mondal, M. Rubaiyat Hossa, Taylor and Francis Ltd

Books from same Author: Mondal, M. Rubaiyat Hossa

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)Mondal, M. Rubaiyat Hossa
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9781032328287
    Pages290
    BindingHardbound
    LanguageEnglish
    Publish YearNovember 2022

    Description

    Taylor and Francis Ltd Emerging Technologies for Combatting Pandemics 1st Edition 2022 Hardbound by Mondal, M. Rubaiyat Hossa

    Unique selling point: The Internet of Things (IoT), AI, and analytics are studied on how they can combat pandemics Core audience: Researchers and medical informatics professionals Place in the market: Academic reference title on timely topic also appealing to professionals Foreword. Preface. Acknowledgments. About the Editors. List of Contributors. 1 Artificial Intelligence Leveraged Internet of Medical Things and Continuous Health Monitoring and Combating Pandemics within the Internet of Medical Things Framework. 2 Assessing the Economic Impact of COVID-19. 3 Assessing the Economic Impact of COVID-19 on the Implications of the Internet of Things Adoption on Small and Medium Enterprise Business's Sustainability. 4 Impact of COVID-19: Insights from Key Sectors of the Indian Economy. 5 Future Scope of Artificial Intelligence in Healthcare for COVID-19. 6 Patient Recovery and Tracing Repercussions for COVID-19 in Discharged Patients. 7 The Impact of COVID-19 on the Maritime Economy: A Study on Bangladesh. 8 Intelligent Optimization and Computational Learning Techniques for Mitigating Pandemics. 9 Various Deep Learning Methodologies for COVID-19 Diagnosis. 10 Hybridization of Decision Tree Algorithm Using Sequencing Predictive Model for COVID-19. 11 CoVICU: A Smart Model for Predicting the Intensive Care Unit Stay of COVID-19 Patients Using Machine Learning Techniques. 12 Long Short-Term Memory-Based Recurrent Neural Network Model for COVID-19 Prediction in Different States of India. 13 Dengue in the Presence of COVID-19: Evaluation of Tree-Based Classifiers Using Stratified K- Fold on Dengue Dataset. Index.



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