Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021

This book summarizes the papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), focusing on innovative research ideas and solutions in intelligent communication architectures and systems for big data and data-intensive applications.

Format: Hardback
Length: 1076 pages
Publication date: 01 March 2022
Publisher: Springer Verlag, Singapore

This book is a compilation of selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India, during August 27th to 28th, 2021. The aim of this book is to gather innovative research ideas and solutions for almost all intelligent data-intensive theories and application domains. The broad scope of this book encompasses the design, architecture, modeling, software, infrastructure, and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book highlights recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.

The papers presented in this book cover a wide range of topics, including but not limited to:

Big Data: The study and analysis of large and complex data sets, which are characterized by their volume, velocity, and variety. This includes techniques such as data mining, machine learning, and artificial intelligence to extract valuable insights and make informed decisions.

Mobile and Wireless Networks: The development and deployment of wireless communication networks, including cellular networks, Wi-Fi, and satellite networks, to provide ubiquitous connectivity and access to information. This includes topics such as network optimization, traffic management, and security.

Artificial Intelligence: The application of computer science principles to develop intelligent systems that can perform tasks that traditionally require human intelligence, such as image recognition, speech recognition, and decision-making. This includes techniques such as neural networks, deep learning, and machine learning.

Machine Learning: The field of computer science that focuses on teaching computers to learn from data, without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning, and is used in a wide range of applications, including healthcare, finance, and transportation.

Social Network Mining: The study of social networks and their structure, dynamics, and behavior. This includes techniques such as network analysis, graph theory, and machine learning to extract valuable insights and make predictions about social phenomena.

Intelligent Computing Technologies: The development and application of advanced computing technologies, such as cloud computing, parallel computing, and quantum computing, to solve complex problems and enable new applications.

Image Analysis: The study of images and videos using computer vision and machine learning techniques to extract information and perform tasks such as object detection, face recognition, and scene analysis.

Robotics and Autonomous Systems: The development and deployment of robots and autonomous systems that can perform tasks independently or collaboratively. This includes topics such as robot navigation, perception, and decision-making.

Data Security and Privacy: The protection of personal and sensitive data from unauthorized access, theft, and misuse. This includes techniques such as encryption, authentication, and access control.

The papers in this book were selected through a rigorous peer-review process, and represent the latest research and developments in the field of intelligent data communication technologies and the Internet of Things. The authors of these papers are experts in their respective fields, and their contributions to this book are invaluable.

This book will be of great interest to researchers, academics, and professionals in the field of intelligent data communication technologies and the Internet of Things. It will provide a valuable reference for those seeking to stay up-to-date with the latest research and developments in this rapidly evolving field.

Weight: 1789g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811676093
Edition number: 1st ed. 2022