Applications of computational science in artificial intelligence

"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 man...

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Bibliographic Details
Other Authors: Nayyar, Anand, Kumar, Sandeep, 1983-, Agrawal, Akshat, 1986-
Format: eBook
Language:English
Published: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2022]
Series:Advances in computational intelligence and robotics (ACIR) book series.
Subjects:
Online Access:EBSCOhost
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245 0 0 |a Applications of computational science in artificial intelligence  |c Anand Nayyar, Sandeep Kumar, Akshat Agrawal. 
264 1 |a Hershey, PA  |b Engineering Science Reference, an imprint of IGI Global,  |c [2022] 
300 |a 1 online resource (xvi, 284 pages)  |b illustrations (chiefly color). 
490 1 |a Advances in computational intelligence and robotics (ACIR) book series 
504 |a Includes bibliographical references and index. 
520 |a "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"--  |c Provided by publisher. 
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 -- Chapter 10. Machine learning-based categorization of COVID-19 patients -- Chapter 11. Designing a hybrid approach for web recommendation using annotation. 
588 |a Description based on online resource; title from digital title page (viewed on June 08, 2022). 
653 0 |a Machine learning. 
653 0 |a Artificial intelligence. 
653 6 |a Apprentissage automatique. 
653 6 |a Intelligence artificielle. 
653 7 |a artificial intelligence.  |2 aat 
653 7 |a Artificial intelligence.  |2 fast  |0 (OCoLC)fst00817247 
653 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
655 0 |a EBSCO eBooks  |9 905790 
655 4 |a Electronic books.  |9 899821 
700 1 |a Nayyar, Anand,  |9 913213 
700 1 |a Kumar, Sandeep,  |d 1983-  |9 914400 
700 1 |a Agrawal, Akshat,  |d 1986-  |9 914401 
830 0 |a Advances in computational intelligence and robotics (ACIR) book series.  |9 900427 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/3300003.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014739 
910 |a EBSCO eBooks 
999 |c 1014739  |d 1014739 
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