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Analisi intelligente dei dati per pandemia COVID-19 di M. Niranjanamurthy (inglese) -

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Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy (English)
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Numero oggetto eBay:386679790694
Ultimo aggiornamento: 19 mag 2024 09:08:36 CESTVedi tutte le revisioniVedi tutte le revisioni

Specifiche dell'oggetto

Condizione
Nuovo: Libro nuovo, intatto e non letto, in perfette condizioni, senza pagine mancanti o ...
ISBN-13
9789811615733
Type
NA
Publication Name
NA
ISBN
9789811615733
Book Title
Intelligent Data Analysis for Covid-19 Pandemic
Book Series
Algorithms for Intelligent Systems Ser.
Publisher
Springer
Item Length
9.3 in
Publication Year
2021
Format
Hardcover
Language
English
Illustrator
Yes
Author
Siddhartha Bhattacharyya
Genre
Technology & Engineering, Computers, Mathematics
Topic
Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics
Item Weight
26.5 Oz
Item Width
6.1 in
Number of Pages
Xix, 370 Pages

Informazioni su questo prodotto

Product Information

Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study.- Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning.- Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data.- Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence.- Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19.- Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19.- Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria.- Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal.- Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling.- Chapter 10. Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic.- Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies.- Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey.- Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm.- Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India.- Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.

Product Identifiers

Publisher
Springer
ISBN-10
981161573x
ISBN-13
9789811615733
eBay Product ID (ePID)
27050413157

Product Key Features

Book Title
Intelligent Data Analysis for Covid-19 Pandemic
Number of Pages
Xix, 370 Pages
Language
English
Publication Year
2021
Topic
Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics
Illustrator
Yes
Genre
Technology & Engineering, Computers, Mathematics
Author
Siddhartha Bhattacharyya
Book Series
Algorithms for Intelligent Systems Ser.
Format
Hardcover

Dimensions

Item Weight
26.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Reviews
"Each article is self-contained with a detailed description of each method, background information, statistics and mathematical details, theory, and application. Anyone looking for inspiration could find several examples and use cases of available data that can be used for insight generation. ... The strength of this edited book is that the readers would become familiar with several data sources and demonstration of intelligent analysis of data that social scientist routinely collect." (Enayet Raheem, ISCB News, iscb.info, June, 2022)
Number of Volumes
1 Vol.
Dewey Decimal
362.1962414
Lc Classification Number
Q342
Table of Content
Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study.- Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning.- Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data.- Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence.- Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19.- Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19.- Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria.- Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal.- Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling.- Chapter 10. Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic.- Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies.- Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey.- Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm.- Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India.- Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.
Copyright Date
2021

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