Book Titled: Social Internet of Things (SloT) and Machine Learning – Enhancing Interconnectivity and Intelligence
- Publisher: Springer Nature Publisher, USA
- Publication Fees: Free of Cost
Recommended Topic, but are not limited to, the following:
- Part 1: Fundamentals of Social IoT and Machine Learning
- Introduction to Social Internet of Things (SloT)
- Machine Learning: A Primer for loT
- Key Technologies Driving SloT
- Social Networks and loT: An Intersection
- Architectures and Communication Protocols in SloT
- Part 2: The Role of Machine Learning in SloT
- Machine Learning Algorithms for SloT
- Supervised and Unsupervised Learning in SloT
- Reinforcement Learning in SloT
- Deep Learning for Enhanced SloT Intelligence
- Federated Learning and Distributed ML in SloT
- Part 3: Key Applications of SloT and Machine Learning
- Smart Homes: An Integrated Approach with SloT and ML
- Smart Cities: Building Connected and Intelligent Ecosystems
- SloT and ML in Healthcare
- Industrial IoT (IIoT) and Predictive Maintenance
- SloT in Transportation and Autonomous Vehicles
- Part 4: Security, Privacy, and Trust in SloT
- Security Challenges in Social IoT Systems
- Machine Learning for SloT Security
- Trust Management in SloT: A Social Approach
- Blockchain for Decentralized SloT Security
- Privacy Concerns and Ethical Issues in SloT
Submission Procedure:
Researchers and practitioners are invited to submit on or before December 30, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by January 05, 2025, about the status of their proposals and sent chapter guidelines. Complete chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by January 15, 2025. All submitted. chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.
Guidelines
- Chapter Length: 15 to 20 pages
- Similarity Index: less than 10%
- Only Turnitin-generated similarity reports will be accepted.
Review notifications will be sent exclusively to authors whose chapters are accepted for consideration.
Information Systems Engineering & Management (ISEM) book series Editor,
Springer Nature: https://www.springer.com/series/17396
Important Dates:
- Proposals Submission Deadline: December 30, 2024
- Full Chapters Due: January 15, 2025
- Final Submission Date: January 30, 2025
Chapter Submission Link: Click Here
Editors
Dr. Rajeev Kumar, Department of Computer Science and Engineering. Moradabad Institute of Technology, Moradabad, U.P., India
Prof. Dr. Alvaro Rocha, Lisbon School of Economics & Management ISEG University of Lisbon, Portugal