Advances in Machine Learning, IoT and Data Security
Open Access
Cite Score: 0.8 Impact Factor: 1.4
About the journal
Advances in Machine Learning, IoT, and Data Security is a leading international journal dedicated to the advancement of knowledge in the interconnected fields of machine learning, the Internet of Things (IoT), and data security. The journal aims to serve as a platform for both researchers and industry professionals to explore cutting-edge innovations, theoretical advancements, and practical applic ...
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Aims & Scope
Advances in Machine Learning, IoT, and Data Security is a leading international journal dedicated to the advancement of knowledge in the interconnected fields of machine learning, the Internet of Thin ...
View full aims & scopeISSN
Online ISSN : XXX-YYY
Subject Areas
⦁ Machine Learning Algorithms and Techniques ⦁ Internet of Things (IoT) Architectures and Applications ⦁ Data Security and Privacy Mechanisms ⦁ Artificial Intelligence in IoT ⦁ Edge and Cloud Computing in IoT ⦁ Blockchain for IoT and Security ⦁ Cybersecurity for Connected Devices ⦁ Smart Cities and Intelligent Systems ⦁ Autonomous Systems and Robotics ⦁ Anomaly Detection and Predictive Maintenance ⦁ Data Encryption and Authentication ⦁ Neural Networks and Deep Learning Applications ⦁ Secure Data Transmission in IoT ⦁ Trust and Identity Management in IoT ⦁ Quantum Computing and Security
Artical publishing charge
$500
Artical publishing charge for open access
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Publishing timeline
4 days
Time to first decision
21 days
Review time
15 days
Revision time
40 days
Submission to Acceptance
07 days
Acceptance to publication
Abstracting and indexing
Articals
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Call for Papers
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Submission deadline 30 June 2024