Amit (Hrsg.) Joshi
                        
                                        
                        
    
    
            
            
            
                                                                
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                    
            
        
                                                
                Covid-19: Prediction, Decision-Making, and Its Impacts
Buch
            This book outlines artificial intelligence for COVID-19 issues that are ranging from prediction to decision-making for healthcare support in human lives. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for multiple problems, such as early prediction, its role for public health, detection of positive cases, drug analysis, and healthcare support. It mainly employs publicly available data (population) to predict who should be tested for COVID-19, for example, radiological image data to detect COVID-19 positive cases from other similar and/or different manifestations, such as pneumonia, distributed healthc…
        
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                                    Beschreibung
                        This book outlines artificial intelligence for COVID-19 issues that are ranging from prediction to decision-making for healthcare support in human lives. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for multiple problems, such as early prediction, its role for public health, detection of positive cases, drug analysis, and healthcare support. It mainly employs publicly available data (population) to predict who should be tested for COVID-19, for example, radiological image data to detect COVID-19 positive cases from other similar and/or different manifestations, such as pneumonia, distributed healthcare support, and supply chains in the middle of COVID-19 pandemic. The book includes recently developed AI-driven tools and techniques, such as pattern recognition, anomaly detection, machine learning, and data analytics. It covers a wide range of audience from computer science and engineering to healthcare professionals. 
                    
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            Produktdetails
Weitere Autoren: Santosh, K. C. (Hrsg.)
- ISBN: 978-981-1596-81-0
 - EAN: 9789811596810
 - Produktnummer: 34795447
 - Verlag: Springer Singapore
 - Sprache: Englisch
 - Erscheinungsjahr: 2020
 - Seitenangabe: 152 S.
 - Masse: H23.5 cm x B15.5 cm x D0.8 cm 242 g
 - Auflage: 1st ed. 2021
 - Abbildungen: Paperback
 - Gewicht: 242
 
Über den Autor
            Dr. KC Santosh (IEEE Senior Member) is the Chair and an Associate Professor for the Department of Computer Science at the University of South Dakota. Before joining USD, Dr. Santosh worked as a Research Fellow at the US National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a Postdoctoral Research Scientist at the LORIA Research Centre, Universite de Lorraine, in direct collaboration with ITESOFT, France. He also served as a Research Scientist at the INRIA Nancy Grand Est Research Centre, France, where he has received his Ph.D. diploma in Computer Science. Dr. Santosh has published more than 70 peer-reviewed research articles, 100 conference proceedings, and 11 book chapters. He has authored 4 books and edited 3 books, 14 journal issues, and 6 conference proceedings. He is currently Editor-in-Chief of IJSIP and an Associate Editor for several journals, such as International Journal of Machine Learning and Cybernetics and IEEE Access. He has also chaired more than 10 international conference events. His research projects have been funded by multiple agencies, including the SDCRGP, Department of Education (DOE), and the National Science Foundation (NSF). Dr. Santosh is the proud recipient of the Presidents Research Excellence Award (USD, 2019) and an award from the Department of Health & Human Services (2014).Dr. Amit Joshi is currently the Director of Global Knowledge Research Foundation and also an Entrepreneur & Researcher who has completed his master's and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, Dr. Joshi is the International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM, and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer, and IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more. 
        
                                        
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