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Applications of computational science in artificial intelligence[electronic resource] /
纪录类型:
书目-电子资源 : Monograph/item
[NT 15000414] null:
006.31
[NT 47271] Title/Author:
Applications of computational science in artificial intelligence/ Anand Nayyar, Sandeep Kumar, and Akshat Agrawal, editors.
[NT 51406] other author:
Agrawal, Akshat.
出版者:
Hershey, Pennsylvania : : IGI Global,, 2022.
面页册数:
1 online resource (284 p.)
标题:
Machine learning.
标题:
Artificial intelligence.
ISBN:
9781799890140 (electronic bk.)
ISBN:
9781799890126
ISBN:
1799890139
ISBN:
9781799890133
ISBN:
1799890120
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000228] null:
Chapter 1. Using natural language processing techniques to assess the attitudes of nursing students during the COVID-19 pandemic -- Chapter 2. Power pell sequences, some periodic relations of these sequences, and a cryptographic application with power pell sequences -- Chapter 3. Robust diagnostic system for COVID-19 based on chest radiology images -- Chapter 4. Neural architecture search network for the diagnosis of COVID from the radiographic images -- Chapter 5. Autonomous vehicle tracking based on non-linear model predictive control approach -- Chapter 6. Medical data analysis using feature extraction and classification based on machine learning and metaheuristic optimization algorithm -- Chapter 7.Robust image matching for information systems using randomly uniform distributed SURF features -- Chapter 8. Prediction of movie success using sentimental analysis and data mining -- Chapter 9. Machine learning for risk analysis -- Chapter10. Machine learning-based categorization of COVID-19 patients -- Chapter 11. Designing a hybrid approach for web recommendation using annotation.
[NT 15000229] null:
Applications of computational science in artificial intelligence / Anand Nayyar, Duy Tan University, Da Nang, Viet Nam, Sandeep Kumar, CHRIST (Deemed to be University), Bangalore, India, Akshat Agrawal, Amity University Haryana, India -- Machine learning-based categorization of COVID 19 Patients / Tanvi Arora, CGC College of Engineering, India -- Design a hybrid approach for web recommendation using annotation / Sunny Sharma, Kathua Campus, University of Jammu, India Vijay Rana, GNA University, India, Vivek Kumar, Arni University, India. "This book delivers technological solutions to improvise smart technologies architecture, healthcare, and environment sustainability covering diverse aspects regarding:Computational solutions, computation framework, smart prediction, healthcare solutions using computational informatics and many more."
电子资源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9012-6
Applications of computational science in artificial intelligence[electronic resource] /
Applications of computational science in artificial intelligence
[electronic resource] /Anand Nayyar, Sandeep Kumar, and Akshat Agrawal, editors. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (284 p.)
Includes bibliographical references and index.
Chapter 1. Using natural language processing techniques to assess the attitudes of nursing students during the COVID-19 pandemic -- Chapter 2. Power pell sequences, some periodic relations of these sequences, and a cryptographic application with power pell sequences -- Chapter 3. Robust diagnostic system for COVID-19 based on chest radiology images -- Chapter 4. Neural architecture search network for the diagnosis of COVID from the radiographic images -- Chapter 5. Autonomous vehicle tracking based on non-linear model predictive control approach -- Chapter 6. Medical data analysis using feature extraction and classification based on machine learning and metaheuristic optimization algorithm -- Chapter 7.Robust image matching for information systems using randomly uniform distributed SURF features -- Chapter 8. Prediction of movie success using sentimental analysis and data mining -- Chapter 9. Machine learning for risk analysis -- Chapter10. Machine learning-based categorization of COVID-19 patients -- Chapter 11. Designing a hybrid approach for web recommendation using annotation.
Applications of computational science in artificial intelligence / Anand Nayyar, Duy Tan University, Da Nang, Viet Nam, Sandeep Kumar, CHRIST (Deemed to be University), Bangalore, India, Akshat Agrawal, Amity University Haryana, India -- Machine learning-based categorization of COVID 19 Patients / Tanvi Arora, CGC College of Engineering, India -- Design a hybrid approach for web recommendation using annotation / Sunny Sharma, Kathua Campus, University of Jammu, India Vijay Rana, GNA University, India, Vivek Kumar, Arni University, India. "This book delivers technological solutions to improvise smart technologies architecture, healthcare, and environment sustainability covering diverse aspects regarding:Computational solutions, computation framework, smart prediction, healthcare solutions using computational informatics and many more."
ISBN: 9781799890140 (electronic bk.)Subjects--Topical Terms:
202931
Machine learning.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: Q325.5 / .A66 2022eb
Dewey Class. No.: 006.31
Applications of computational science in artificial intelligence[electronic resource] /
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Anand Nayyar, Sandeep Kumar, and Akshat Agrawal, editors.
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Chapter 1. Using natural language processing techniques to assess the attitudes of nursing students during the COVID-19 pandemic -- Chapter 2. Power pell sequences, some periodic relations of these sequences, and a cryptographic application with power pell sequences -- Chapter 3. Robust diagnostic system for COVID-19 based on chest radiology images -- Chapter 4. Neural architecture search network for the diagnosis of COVID from the radiographic images -- Chapter 5. Autonomous vehicle tracking based on non-linear model predictive control approach -- Chapter 6. Medical data analysis using feature extraction and classification based on machine learning and metaheuristic optimization algorithm -- Chapter 7.Robust image matching for information systems using randomly uniform distributed SURF features -- Chapter 8. Prediction of movie success using sentimental analysis and data mining -- Chapter 9. Machine learning for risk analysis -- Chapter10. Machine learning-based categorization of COVID-19 patients -- Chapter 11. Designing a hybrid approach for web recommendation using annotation.
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Applications of computational science in artificial intelligence / Anand Nayyar, Duy Tan University, Da Nang, Viet Nam, Sandeep Kumar, CHRIST (Deemed to be University), Bangalore, India, Akshat Agrawal, Amity University Haryana, India -- Machine learning-based categorization of COVID 19 Patients / Tanvi Arora, CGC College of Engineering, India -- Design a hybrid approach for web recommendation using annotation / Sunny Sharma, Kathua Campus, University of Jammu, India Vijay Rana, GNA University, India, Vivek Kumar, Arni University, India. "This book delivers technological solutions to improvise smart technologies architecture, healthcare, and environment sustainability covering diverse aspects regarding:Computational solutions, computation framework, smart prediction, healthcare solutions using computational informatics and many more."
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9012-6
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