
Innovations in Computational Intelligence, Big Data Analytics and Internet of Things
- English
- PDF
- Available on iOS & Android
Innovations in Computational Intelligence, Big Data Analytics and Internet of Things
About this book
As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc.The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics.• Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc.• Methods for collection, management retrieval and processing of Big Data in various domains.• Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains
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Information
Table of contents
- Cover
- Series page
- Innovations in Computational Intelligence, Big Data Analytics, and Internet of Things
- Library of Congress Cataloging-in-Publication Data
- CONTENTS
- CHAPTER 1: A Systematic Literature Review
- CHAPTER 2: Applications of Innovations
- CHAPTER 3: Trends and Future Research Directions of Innovations
- CHAPTER 4: An Intelligent Framework for Traffic Congestion Analysis System
- CHAPTER 5: IoT Security
- CHAPTER 6: Implementation of DenseNet Deep Learning Mechanism
- CHAPTER 7: An Integrated Comprehensive Security Framework for Wireless Sensor Networks
- CHAPTER 8: A Feature-Fusion-Based Multimodal Biometric
- CHAPTER 9: A Workload Clustering and Resource Provisioning Framework for Cloud Using
- CHAPTER 10: IoT Protocols
- CHAPTER 11: IoT Enabled Monitoring of Solar Plants in Agri Lands
- CHAPTER 12: Identification of Collaborative Concerns and Risks
- CHAPTER 13: Lung Disease Detection Using Hybrid Machine Learning Algorithms
- CHAPTER 14: An Investigation of Future Research Directions in Secure Internet of Things
- CHAPTER 15: An Effective Pedestrian Detection Using Convolutional Neural Network
- CHAPTER 16: Chronic Kidney Disease Prediction Using Hybrid Machine Learning Models
- CHAPTER 17: Cyber Security Constrained Power System With TCSC
- CHAPTER 18: Opportunities and Challenges in Enabling Technologies of Industry 5.0
- CHAPTER 19: Big Data Analysis to Categorize Agricultural Land
- CHAPTER 20: Binaural Hearing Aid Noise Reduction Using an External Microphone
- ABOUT THE EDITORS