Impact of AI and Data Science in Response to Coronavirus Pandemic
Impact of AI and Data Science in Response to Coronavirus Pandemic
edited by Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Gyoo-Soo Chae, Bhabani Shankar Prasad Mishra.
- First edition 2021
- 1 recurso en línea (XII, 324 páginas) 186 ilustraciones, 167 ilustraciones a color
- Algorithms for Intelligent Systems 2524-7573 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .
Fight Against Covid-19 Pandemic using Chat-Bots -- IoT for COVID-19: A Descriptive Viewpoint -- A Deep learning application for Prediction of COVID-19 -- Impact of Artificial Intelligence & Internet of Things in Effective Handling of Corona virus Crisis -- Application of Machine Learning Algorithms for effective determination of COVID 19 clusters -- Futuristic Intelligence based treatment methods to handle COVID-19 patients -- Machine Learning Approach for Analyzing Symptoms Associated with COVID-19 Risk Factors -- Detection of COVID-19 using Textual Clinical Data: A Machine Learning Approach -- Application Of Big Data In Analysis And Management Of Coronavirus (COVID-19) -- Computer Vision in COVID-19: A Study -- Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak -- Smart Technology Application for COVID-19 Detection, Control, Prediction and Analysis -- Sentiment Analysis Of Twitter Data Related To COVID-19 -- Application of Artificial Intelligence (AI) for effective screening of COVID-19 -- An Overview of Significant Role of Data Science and its associated methodologies in COVID-19 Handling.
The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.
9789811627866
10.1007/978-981-16-2786-6 doi
Aprendizaje automático
RA644.C67 / 2021 EB
Fight Against Covid-19 Pandemic using Chat-Bots -- IoT for COVID-19: A Descriptive Viewpoint -- A Deep learning application for Prediction of COVID-19 -- Impact of Artificial Intelligence & Internet of Things in Effective Handling of Corona virus Crisis -- Application of Machine Learning Algorithms for effective determination of COVID 19 clusters -- Futuristic Intelligence based treatment methods to handle COVID-19 patients -- Machine Learning Approach for Analyzing Symptoms Associated with COVID-19 Risk Factors -- Detection of COVID-19 using Textual Clinical Data: A Machine Learning Approach -- Application Of Big Data In Analysis And Management Of Coronavirus (COVID-19) -- Computer Vision in COVID-19: A Study -- Role of Artificial Intelligence in Forecast Analysis of COVID-19 Outbreak -- Smart Technology Application for COVID-19 Detection, Control, Prediction and Analysis -- Sentiment Analysis Of Twitter Data Related To COVID-19 -- Application of Artificial Intelligence (AI) for effective screening of COVID-19 -- An Overview of Significant Role of Data Science and its associated methodologies in COVID-19 Handling.
The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.
9789811627866
10.1007/978-981-16-2786-6 doi
Aprendizaje automático
RA644.C67 / 2021 EB