Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Springer Verlag, Singapore
978-981-15-8536-4 (ISBN)
Dr. Khalid Raza is an Assistant Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has also served as an “ICCR Chair Professor” at Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt. He has 10 years of teaching & research experience in the field of computational intelligence and its various applications. He has contributed over 70 research articles in reputed journals and edited books, one single-authored book, and reviewed over 100 research articles for reputed journals/conferences in the last 5 years. He has also served as “International Contributor” for the book “Java: How to Program” by Deitel and Deitel, International Edition (Pearson). Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in national and international conferences and workshops, and chaired technical sessions in various national and international conferences. He has also executed two Indian government-funded research projects. Dr. Raza is a member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest lies in computational intelligence and its applications in bioinformatics, viro-informatics, and health informatics.
1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis.- 2. Role of Computational Intelligence against COVID-19.- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks.- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19.- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention.- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic.- 7. A Review on Predictive Systems and Data Models for COVID-19.- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India.- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.
Erscheinungsdatum | 25.10.2021 |
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Reihe/Serie | Studies in Computational Intelligence ; 923 |
Zusatzinfo | 97 Illustrations, color; 17 Illustrations, black and white; XIX, 436 p. 114 illus., 97 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Informatik ► Weitere Themen ► Bioinformatik | |
Medizin / Pharmazie | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Technik ► Medizintechnik | |
Schlagworte | Covid-19 • Drug Design for COVID-19 • Drug Repurposing for COVID-19 • Epidemic Forecast Model • Novel Coronavirus Disease • Predictive Modelling • Viral Control • Viral Prevention • Viral Surveillance |
ISBN-10 | 981-15-8536-9 / 9811585369 |
ISBN-13 | 978-981-15-8536-4 / 9789811585364 |
Zustand | Neuware |
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