Computational Intelligence Techniques for Combating COVID-19 (Record no. 78448)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04490nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-68936-0 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801220327.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210503s2021 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783030689360 |
| -- | 978-3-030-68936-0 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.382 |
| 245 10 - TITLE STATEMENT | |
| Title | Computational Intelligence Techniques for Combating COVID-19 |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | X, 390 p. 154 illus., 129 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | EAI/Springer Innovations in Communication and Computing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19 -- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19 -- Medical Imaging Diagnosis and Analysis for COVID-19 -- Personalized Medicines and vaccines development for COVID-19 -- Machine Learning and Behavioral Modification for COVID-19 -- Smart Health Record Management Techniques for COVID-19 -- Intelligent Clinical Trials for COVID-19 -- Crowdsourcing and Data Collection for COVID-19 -- Radiotherapy for COVID-19 -- Outbreak Prediction for COVID-19 -- Intelligent Mobile Applications for COVID-19 -- Internet of Things enabled applications and design Challenges -- Big Data Enabled Solutions for COVID-19 -- Electronic Governance Policies for Pandemic Crisis -- Use of Automation and Robots to Fight Coronavirus -- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19 -- Unlocking Potentials of NLP to Fight against COVID-19 Crisis -- Chatbots for Coronavirus -- Conclusion. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS). |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kautish, Sandeep. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Peng, Sheng-Lung. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Obaid, Ahmed J. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-68936-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2021. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Telecommunication. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedical engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Medical informatics. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Communications Engineering, Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Biomedical Engineering and Bioengineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Health Informatics. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2522-8609 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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