The articles would not be sent to any journal. Instead, they will be published in proceedings with an ISSN / ISBN number.

The papers published under the series will be sent for indexing by the publisher. The indexing is the decision of SCOPUS.

CRC Press, is a premier global publisher of science, technology, and medical resources. CRC Press is a member of Taylor & Francis Group, an informa business. For additional information regarding the publisher, please visit https://www.crcpress.com CRC Taylor & Francis takes pride in having publications indexed by major indices worldwide. So long as they meet the required criteria, all CRC publications are submitted for indexing to indices Thomson Reuters Book Citation Index and SCOPUS.

Likewise, SCITEPress has a long track record of getting their proceedings indexed in SCOPUS. However, neither of the publishers can guarantee indexing as the indexing decision lies in the hands of SCOPUS.

All certificates are digital

1. Conference Participation Certificates.

2. Best Paper Award.

No certificates are given for publication.

This track focuses on the design, development, and deployment of AI-enabled IoT and Smart Systems. Topics could include AI algorithms and techniques for sensor data processing, anomaly detection, predictive maintenance, and control and optimization of complex systems. Additionally, this track could focus on the integration of AI algorithms and techniques with edge computing, fog computing, and cloud computing technologies for more efficient and scalable IoT systems.

This track focuses on the security and privacy implications of IoT systems and the role of AI in ensuring secure and privacy-preserving IoT systems. Topics could include secure communication protocols for IoT devices, AI-enabled security and privacy solutions for IoT systems, and the detection and prevention of cyber-attacks on IoT devices. The track could also cover ethical and legal issues related to IoT security and privacy, such as data ownership and data protection regulations.

This track focuses on the development of new AI algorithms and techniques for IoT systems. Topics could include machine learning algorithms for sensor data analysis, reinforcement learning algorithms for autonomous systems, evolutionary algorithms for optimization, and natural language processing techniques for voice-enabled IoT systems. Additionally, the track could cover the design and implementation of AI algorithms for IoT systems with limited computational resources.

This track covers emerging technologies that are relevant to IoT and Smart Systems, such as blockchain, Web3 technologies, 5G, and quantum computing. Topics could include the integration of these technologies with IoT systems, the use of AI for optimizing their performance, and the challenges and opportunities associated with their adoption in IoT systems. Additionally, this track could cover the design and implementation of new IoT and Smart Systems applications that leverage these emerging technologies.