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