Overview
- Editors:
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Khalid Raza
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Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India
- Covers epidemic forecast models, surveillance, and tracking systems
- Is a professionally edited book on the role of computational intelligence to fight against COVID-19 pandemic
- Includes the work of highly qualified contributors from prestigious institutions and research centers across the world
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Table of contents (22 chapters)
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Computational Intelligence and COVID-19 Preliminaries
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- Khalid Raza, Maryam, Sahar Qazi
Pages 3-18
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- Simran Kaur, Yasha Hasija
Pages 19-43
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Computational Intelligence in Surveillance and Prevention of COVID-19 Infection
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- Sahar Qazi, Salim Ahmad, Khalid Raza
Pages 47-59
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- Ahmadi Hasan, Ahmad Kamal
Pages 61-77
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- Shaban Ahmad, Pragya Chitkara, Fatima Nazish Khan, Avtar Kishan, Vaibhav Alok, Ayyagari Ramlal et al.
Pages 79-108
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- Ibrahim Babangida Mohammed, Salmi Mohd Isa
Pages 109-119
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Computational Intelligence in Prediction and Diagnosis of COVID-19
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Front Matter
Pages 121-121
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- Fatima Nazish Khan, Ayesha Ayubi Khanam, Ayyagari Ramlal, Shaban Ahmad
Pages 123-164
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- R. S. M. Lakshmi Patibandla, V. Lakshman Narayana
Pages 175-189
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- Hemant Kumar Tewtia, Deepti Singh
Pages 191-205
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- Sarra Akermi, Subrata Sinha, Surabhi Johari, Sunil Jayant, Anshul Nigam
Pages 207-223
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Computational Intelligence in Drug Design and Drug Repurposing
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Front Matter
Pages 271-271
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- Manish Kumar Tripathi, Sujata Sharma, Tej P. Singh, A. S. Ethayathulla, Punit Kaur
Pages 273-294
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- Ankita Sahu, Sahar Qazi, Khalid Raza, Saurabh Verma
Pages 295-309
About this book
The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource forcomputer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.
Editors and Affiliations
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Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India
Khalid Raza
About the editor
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.