Детальная информация

"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"--.

• 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