Emerging Technologies for Combatting Pandemics
portes grátis
Emerging Technologies for Combatting Pandemics
AI, IoMT, and Analytics
Mondal, M. Rubaiyat Hossain; Prasath, V. B. Surya; Podder, Prajoy; Kose, Utku; Kamruzzaman, Joarder; Bharati, Subrato
Taylor & Francis Ltd
11/2022
290
Dura
Inglês
9781032328287
15 a 20 dias
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
medical diagnostics;Artificial Intelligence;disease prevention;e-healthcare;IoT;Deep Learning Algorithm;MERS;Deep Learning Techniques;Supervised Machine Learning Algorithm;RNN;Chest X-ray Images;RF Algorithm;RF;Supervised Machine Learning;CNN Model;SVM;Confirmed Cases;Smite;Dt Ensemble;Dengue Patients;ICU Stay;Edge Computing;Ml Model;Ml Algorithm;Bart;Seaborne Trade;Maritime Economy;AUC Curve;Export Import Volume;Dl Approach
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
medical diagnostics;Artificial Intelligence;disease prevention;e-healthcare;IoT;Deep Learning Algorithm;MERS;Deep Learning Techniques;Supervised Machine Learning Algorithm;RNN;Chest X-ray Images;RF Algorithm;RF;Supervised Machine Learning;CNN Model;SVM;Confirmed Cases;Smite;Dt Ensemble;Dengue Patients;ICU Stay;Edge Computing;Ml Model;Ml Algorithm;Bart;Seaborne Trade;Maritime Economy;AUC Curve;Export Import Volume;Dl Approach
