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Engineering & Technology

Journal of Intelligent Systems Practice

Machine learning, control and automation research applied to real engineering problems.

ISSN 2945-1144 Quarterly Open access

Aims and Scope

Journal of Intelligent Systems Practice

Aims

Machine learning, control and automation research applied to real engineering problems.

  • Publish original research, reviews and case reports of high scientific quality.
  • Make every article free to read from the day it is published.
  • Give authors a fair, transparent and timely peer review.
  • Encourage research that has a practical impact on its field.

Scope

The journal welcomes manuscripts in Engineering & Technology and closely related fields, including:

Research Article Review Article Case Report Short Communication Editorial Letter to the Editor

Not sure your work fits? Ask the editorial office before you submit.