Recent Advances in Internet of Things and Machine Learning: Real-World Applications

The growth of soft computing has significantly impacted the Internet of Things (IoT), and this book aims to capture this multifaceted nature of IoT and machine learning in one place. It provides a future direction for IoT and machine learning research, identifies different issues, suggests feasible solutions, and enables researchers and practitioners to interact with each other. The book seeks novel chapters that recommend new methodologies, recent advancements, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

Format: Paperback / softback
Length: 329 pages
Publication date: 16 February 2023
Publisher: Springer Nature Switzerland AG

The growth of soft computing has had a profound impact on a wide range of domains, and one area that is receiving significant attention is the Internet of Things (IoT). With the increasing number of devices connecting to the internet, these applications have the potential to become integral components of smart applications across various sectors, including health, agriculture, energy, security, and retail. This has sparked a global enthusiasm for IoT and machine learning, leading to the publication of this comprehensive book.

The primary objective of this book is to provide a comprehensive overview of IoT and machine learning, capturing their multifaceted nature in one single resource. Each chapter in the book contributes to this objective, offering insights into different aspects of these technologies. Furthermore, the book serves as a guide for future research in IoT and machine learning, providing a roadmap for scholars and practitioners alike.

The book's objectives are to identify key issues related to IoT and machine learning, propose feasible solutions to these issues, and foster interaction between researchers and practitioners from academia and industry. To achieve this, the book seeks to include novel chapters that offer innovative methodologies, recent advancements, system architectures, and other solutions to overcome the limitations of IoT and machine learning.

In conclusion, this book is a valuable resource for anyone interested in IoT and machine learning. It provides a comprehensive overview of these technologies, highlights their potential applications, and serves as a guide for future research and development. By bringing together experts from various fields, the book aims to contribute to the advancement of IoT and machine learning and their widespread adoption in various industries.

Weight: 545g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030901219
Edition number: 1st ed. 2022