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dc.contributor.author | Nayyar Anand | |
dc.contributor.author | Kumar Sandeep | |
dc.contributor.author | Agrawal Akshat | |
dc.date.accessioned | 2024-01-29T22:01:24Z | |
dc.date.available | 2024-01-29T22:01:24Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Applications of computational science in artificial intelligence Advances in computational intelligence and robotics (ACIR) book series. - 1 online resource (xvi, 284 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/3300003.pdf | |
dc.identifier.isbn | 9781799890140 | |
dc.identifier.isbn | 1799890147 | |
dc.identifier.isbn | 9781799890157 | |
dc.identifier.isbn | 1799890155 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/180175 | |
dc.description | Includes bibliographical references and index. | |
dc.description.abstract | "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"-- | |
dc.description.tableofcontents | 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. | |
dc.language | English | |
dc.language.iso | en | |
dc.relation.ispartofseries | Advances in computational intelligence and robotics (ACIR) book series | |
dc.relation.ispartofseries | Advances in computational intelligence and robotics (ACIR) book series. | |
dc.subject.other | Machine learning. | |
dc.subject.other | Artificial intelligence. | |
dc.subject.other | Apprentissage automatique. | |
dc.subject.other | Intelligence artificielle. | |
dc.subject.other | artificial intelligence. | |
dc.subject.other | Artificial intelligence. | |
dc.subject.other | Machine learning. | |
dc.subject.other | Electronic books. | |
dc.title | Applications of computational science in artificial intelligence Advances in computational intelligence and robotics (ACIR) book series./ Anand Nayyar, Sandeep Kumar, Akshat Agrawal. | |
dc.type | Book | |
dc.description.pages | 1 online resource (xvi, 284 pages) : | |
dc.collection | Электронно-библиотечные системы | |
dc.source.id | EN05CEBSCO05C918 |