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Аннотация
"This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--.
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Интернет | Анонимные пользователи |
Оглавление
- Cover
- Title Page
- Copyright Page
- Book Series
- List of Contributors
- Table of Contents
- Detailed Table of Contents
- Preface
- Acknowledgment
- Chapter 1: OMNeT++ Framework for Simulation of Centralized and Distributed Algorithms in Multi-Hop Networks
- Chapter 2: Comparing Machine Learning Models for the Predictions of Speed in Smart Transportation Systems
- Chapter 3: Privacy Preserving in Smart Cities Using Various Computing Technologies
- Chapter 4: A Survey on Explainability in Artificial Intelligence
- Chapter 5: An Improved Model for House Price/Land Price Prediction using Deep Learning
- Chapter 6: An Effective Video Surveillance System by using CNN for COVID-19
- Chapter 7: An Improved Deep Learning Algorithm for Diabetes Prediction
- Chapter 8: Medicinal Plant Identification Using Machine Learning Techniques
- Chapter 9: Enhanced PMF Model to Predict User Interest for Web API Recommendation
- Chapter 10: Impact of Social Media Network Data on Conservation of Bioresources
- Chapter 11: Role of Information Technology in Environmental Communication
- Chapter 12: The Benefits and Limitations of Telemedicine During COVID-19
- Chapter 13: Design and Development of an Internet of Things (IoT)-Based Anti-Theft System in Museum Cultural Relics Using RFID
- Chapter 14: Telugu News Data Classification Using Machine Learning Approach
- Chapter 15: Performance Analysis of MCOD Algorithm With Varying Parameters
- Chapter 16: Assessment of Electric Consumption Forecast Using Machine Learning and Deep Learning Models for the Industrial Sector
- Compilation of References
- Related References
- About the Contributors
- Index
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pdf/3021417.pdf
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epub/3021417.epub
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