Aim and Scope

Journal of Augmented Intelligence and Machine

Aim and Scope


The Journal of Augmented Intelligence and Machine (JAIM) strives to enhance the comprehension and implementation of cutting-edge networking technologies. It attempts to offer a thorough platform for sharing pioneering research, addressing both theoretical and practical challenges in the realm of computer networks. The journal is committed to explore innovative approaches in network design, architecture, protocols, and applications to meet the increasing need for communication systems that are fast, dependable, and secure. Journal of Augmented Intelligence and Machine (JAIM) covers an extensive array of topics in future networks and communications, encompassing but not restricted to:

  • Human-Machine Collaboration
  • Additive Manufacturing and Design
  • Machine Learning and AI Algorithms
  • Mechatronics and Robotics
  • Applications of NLP in enhancing human communication
  • AI and ML for Mechanical Engineering
  • Renewable and Sustainable Energy Technologies
  • Petroleum, Polymer and Chemical Processing sector
  • Nano-Fluids / Particles
  • Surface Engineering
  • Advanced Manufacturing process / techniques
  • Composite Materials – Metal Matrix, Natural Fiber, Ceramic
  • Policy and regulation of AI and machine learning technologies
  • Ensuring transparency and accountability in AI systems

Bibliographic Information

  • Frequency: Quarterly
  • ISSN (Online): XXXX - XXXX
  • ISSN (Print): XXXX - XXXX
  • Doi: XXXXXX

Open Access

JAIM operates as an open access journal, granting immediate access to all articles upon publication for reading and reuse. This approach ensures that research is freely accessible worldwide, facilitating broader dissemination and fostering engagement within the academic community. Further details regarding our Open Access policy can be found in our dedicated Open Access Policy page.

Contact

Editorial enquiries should be directed to jaim@sepub.tw.

General enquiries should be directed to help@sepub.tw.