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Applications of computational science in artificial intelligence Anand Nayyar, Sandeep Kumar, Akshat Agrawal.

Contributor(s): Nayyar, Anand | Kumar, Sandeep, 1983- | Agrawal, Akshat, 1986-Material type: TextTextSeries: Advances in computational intelligence and robotics (ACIR) book seriesPublisher: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2022]Description: 1 online resource (xvi, 284 pages) illustrations (chiefly color)ISBN: 9781799890140; 1799890147; 9781799890157; 1799890155Subject(s): Machine learning | Artificial intelligence | Apprentissage automatique | Intelligence artificielle | artificial intelligence | Artificial intelligence | Machine learningGenre/Form: EBSCO eBooks | Electronic books. DDC classification: 006.3/1 LOC classification: Q325.5 | .A6595 2022Online resources: EBSCOhost
Contents:
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.
Summary: "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"-- Provided by publisher.
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Includes bibliographical references and index.

"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"-- Provided by publisher.

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.

Description based on online resource; title from digital title page (viewed on June 08, 2022).

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