"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