Researches and Applications of Artificial Intelligence to Mitigate Pandemics
Academic Press Inc (Verlag)
978-0-323-90959-4 (ISBN)
Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.
Kauser Hameed, is a lecturer at King Faisal University –College of Computer Science - Information’s System department. She earned her Bachelor’s degree in Computer's Application from Osmania University, India in 2002 and completed her Master levels in Computer’s Application from the same campus in 2004. In more than a decade of her work experience, she hold promising and vivid work roles in multinational IT sectors such as GE Capitals and Sumtotal, while devoting her services in Academic later to that. Editing books, participating chapters and compiling academic videos is also one of her interesting diversions. Surbhi Bhatia Khan is Doctorate in Computer Science and Engineering in the area of Machine Learning and Social Media Analytics. She earned Project Management Professional Certification from reputed Project Management Institute, USA. She is currently working in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. She has more than 11 years of academic and teaching experience in different universities. She is the awardee of the Research Excellence award given by King Faisal University, Saudi Arabia, in 2021. She has published 100þ papers in many reputed journals in high indexed outlets. She has around 12 international patents from India, Australia, and the United States. She has successfully authored 3 books and has also edited 12 books. She has completed many projects approved from Ministry of Education, Saudi Arabia, and Deanship of Scientific Research in different universities in Saudi Arabia and from India. Her area of interest is Knowledge Management, Information Systems, Machine Learning, and Data Science. Syed Tousif Ahmed holds a Masters of Computer Science and Engineering; graduated from Jawaharlal Nehru Technological University Hyderabad, India. His expertise lend strong hands on to High Performance Computing, Artificial Intelligence, Cloud database, Python, Linux administration and Data Science. Holding over 10 plus years of work experience in the field of Information Technology, he played vivid roles as working in Academics as well as in the industry. In his career journey he worked as a Database Administrator in University of Dammam, Oracle HR consultant at Extra Zonic Dammam, R and D associate at various funded research projects at renowned universities internationally and proved to show distinguished results. Currently, he is aspiring to pursue doctorate in one of his engrossing areas.
1. A Case of 2019-nCoV Novel Coronavirus Outbreak
Asma Fatima, Khutaija Maheen and Kauser Hameed
2. Diagnostic Tools and Automated Decision Support Systems For COVID-19
Noor E. Hafsa
3. Epidemiology
Khutaija Maheen, Fatima Rubeena and Kauser Hameed
4. Social Media Sentiment Analysis And Emotional Intelligence
Rameez Unnisa and Khutaija Maheen
5. Role of Technology in COVID-19 Pandemic
RAAZIA SAHER and Madiha Anjum
6. Conclusions
SANEH LATA YADAV, Ritika Dahiya and Surbhi Bhatia
| Erscheinungsdatum | 04.05.2021 |
|---|---|
| Reihe/Serie | Hybrid Computational Intelligence for Pattern Analysis and Understanding |
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 290 g |
| Themenwelt | Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie |
| Technik | |
| ISBN-10 | 0-323-90959-0 / 0323909590 |
| ISBN-13 | 978-0-323-90959-4 / 9780323909594 |
| Zustand | Neuware |
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