Call for Book Chapters: Social Internet of Things (SloT) and Machine Learning – Enhancing Interconnectivity and Intelligence

The Social Internet of Things (SloT) and Machine Learning – Enhancing Interconnectivity and Intelligence book, part of the Information Systems Engineering & Management (ISEM) series, invites contributions. This book will explore innovative methods to integrate the Social Internet of Things (SloT) with advanced machine learning (ML) techniques, aiming to enhance connectivity and intelligence across applications.

Recommended Topics

Submissions are encouraged but not limited to the following areas:

• Advanced ML algorithms for SloT integration.
• Interoperability challenges in SloT systems.
• Privacy, security, and ethical considerations in SloT.
• Real-world applications of SloT in healthcare, smart cities, and industrial automation.
• Cognitive and social intelligence in IoT systems.
• Data analysis frameworks for large-scale IoT networks.

Submission Guidelines

Authors are required to follow these guidelines:

1. Submit original, unpublished chapters adhering to the book’s theme.
2. Ensure the manuscript is formatted per the publisher’s requirements.
3. Include a title, abstract, keywords, and author bios.
4. Chapter Length: 15 to 20 pages
5. Similarity Index: less than 10%
6. Only Turnitin-generated similarity reports will be accepted.

Important Dates

• Abstract Submission Deadline: January 10, 2024
• Notification of Abstract Acceptance: January 20, 2024
• Full Chapter Submission Deadline: February 15, 2024
• Review Notification: March 15, 2024
• Final Submission Deadline: March 30, 2024

Submission Procedure

Submit your chapters via the provided submission link. Ensure the manuscript is in Microsoft Word format, and include all necessary figures and references.

Editors

This book is part of the ISEM series and is coordinated by experienced editors in the field. Contact details for further queries will be available through the publisher’s portal.