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Applications of computational science in artificial intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applications of computational science in artificial intelligenceAnand Nayyar, Sandeep Kumar, and Akshat Agrawal, editors.
其他作者:	Agrawal, Akshat.
出版者:	Hershey, Pennsylvania :IGI Global,2022.
面頁冊數:	1 online resource (284 p.)
標題:	Machine learning.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9012-6
ISBN:	9781799890140 (electronic bk.)

Applications of computational science in artificial intelligence
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:

188639
Machine learning.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: Q325.5 / .A66 2022eb

Dewey Class. No.: 006.31

Applications of computational science in artificial intelligence
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245 0 0 $a Applications of computational science in artificial intelligence $h [electronic resource] / $c Anand Nayyar, Sandeep Kumar, and Akshat Agrawal, editors.
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505 0 $a 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.
520 3 $a 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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