Details
| Title | Advances in computational intelligence and robotics (ACIR) book series. — Applications of computational science in artificial intelligence |
|---|---|
| Other creators | Nayyar Anand ; Kumar Sandeep ; Agrawal Akshat |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Machine learning. ; Artificial intelligence. ; Apprentissage automatique. ; Intelligence artificielle. ; EBSCO eBooks |
| Document type | Other |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1269099552 |
| Record create date | 8/3/2021 |
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| Group | Anonymous |
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| Network | Internet |
"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"--.
| Network | User group | Action |
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| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Detailed Table of Contents
- Preface
- 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
- Compilation of References
- About the Contributors
- Index
