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 |
|