04484nam 22007335 450 991041608400332120200826123109.0981-15-6572-410.1007/978-981-15-6572-4(CKB)4100000011401188(MiAaPQ)EBC6319918(DE-He213)978-981-15-6572-4(PPN)250212854(EXLCZ)99410000001140118820200826d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Systems and Methods to Combat Covid-19[electronic resource] /edited by Amit Joshi, Nilanjan Dey, K. C. Santosh1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (xii, 91 pages) illustrationsSpringerBriefs in Computational Intelligence,2625-3704981-15-6571-6 Chapter 1. Data Analytics: COVID-19 Prediction using Multimodal Data -- Chapter 2. COVID-19 Apps: Privacy and security concerns -- Chapter 3. Coronavirus Outbreak: Multi-objective Prediction and Optimization -- Chapter 4. AI-Enabled Framework to Prevent COVID-19 from Further Spreading -- Chapter 5. Artificial Intelligence Enabled Robotic Drones for COVID-19 Outbreak -- Chapter 6. Understanding and Analysis of Enhanced COVID-19 Chest X-Ray Images -- Chapter 7. Deep Learning-based COVID-19 Diagnosis and Trend Predictions -- Chapter 8. COVID-19: Loose Ends -- Chapter 9. Social Distancing and Artificial Intelligence- Understanding the Duality in the times of Covid-19 -- Chapter 10. Post Covid-19 and Business Analytics.This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.SpringerBriefs in Computational Intelligence,2625-3704Computational intelligenceArtificial intelligenceHealth informaticsControl engineeringRoboticsMechatronicsBig dataComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Control, Robotics, Mechatronicshttps://scigraph.springernature.com/ontologies/product-market-codes/T19000Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Computational intelligence.Artificial intelligence.Health informatics.Control engineering.Robotics.Mechatronics.Big data.Computational Intelligence.Artificial Intelligence.Health Informatics.Control, Robotics, Mechatronics.Big Data.610.28563Joshi Amitedthttp://id.loc.gov/vocabulary/relators/edtDey Nilanjanedthttp://id.loc.gov/vocabulary/relators/edtSantosh K. Cedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910416084003321Intelligent Systems and Methods to Combat Covid-192129765UNINA