CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
Table of Contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Preface
- 1 Integration of Artificial Intelligence, Big Data, and Cloud Computing with Internet of Things
- 2 Cloud Computing and Virtualization
- 3 Time and Cost-Effective Multi-Objective Scheduling Technique for Cloud Computing Environment
- 4 Cloud-Based Architecture for Effective Surveillance and Diagnosis of COVID-19
- 5 Smart Agriculture Applications Using Cloud and IoT
- 6 Applications of Federated Learning in Computing Technologies
- 7 Analyzing the Application of Edge Computing in Smart Healthcare
- 8 Fog-IoT Assistance-Based Smart Agriculture Application
- 9 Internet of Things in the Global Impacts of COVID-19
- 10 An Efficient Solar Energy Management Using IoT-Enabled Arduino-Based MPPT Techniques
- 11 Axiomatic Analysis of Pre-Processing Methodologies Using Machine Learning in Text Mining
- 12 APP-Based Agriculture Information System for Rural Farmers in India
- 13 SSAMH – A Systematic Survey on AI-Enabled Cyber Physical Systems in Healthcare
- 14 ANN-Aware Methanol Detection Approach with CuO-Doped SnO2 in Gas Sensor
- 15 Detecting Heart Arrhythmias Using Deep Learning Algorithms
- 16 Artificial Intelligence Approach for Signature Detection
- 17 Comparison of Various Classification Models Using Machine Learning to Predict Mobile Phones Price Range
- Index
- Also of Interest
- End User License Agreement