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: Paperback / softback
Length: 1076 pages
Publication date: 02 March 2023
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 data visualization.

Mobile and Wireless Networks: The design, implementation, and optimization of wireless communication networks, including cellular networks, Wi-Fi, and satellite networks. This includes topics such as network capacity, energy efficiency, and network security.

Artificial Intelligence: The development of intelligent systems that can perform tasks that traditionally require human intelligence, such as image recognition, natural language processing, and decision-making. This includes techniques such as deep learning, neural networks, and machine learning.

Machine Learning: The study of algorithms that enable computers to learn from data, without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.

Social Network Mining: The analysis of social networks, such as Facebook, Twitter, and LinkedIn, to extract valuable insights and patterns. This includes topics such as network structure, node centrality, and community detection.

Intelligent Computing Technologies: The development of advanced computing technologies, such as cloud computing, distributed computing, and quantum computing, to solve complex problems. This includes topics such as parallel processing, optimization, and machine learning.

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

Robotics and Autonomous Systems: The design, implementation, and control of robots and autonomous systems that can perform tasks in environments that are difficult or dangerous for humans. 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, ensuring that only the highest quality research is included. The authors of these papers are experts in their respective fields, and their contributions to the field of intelligent data communication technologies and the Internet of Things are invaluable.

This book will be of great interest to researchers, academics, and professionals in the fields of computer science, engineering, and technology. It will provide valuable insights and solutions for developing intelligent communication architectures and systems that can handle the challenges of big data and data-intensive applications.

Weight: 1629g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811676123
Edition number: 1st ed. 2022