Journal Focus Issue

   

A Focus Issue based on the Symposium topic will be published by the journal Machine Learning: Engineering (IOP Publishing).

This issue will accept articles for peer review beginning late 2024 (around November). Please stay tuned for more details. 

The open-access journal will waive article processing fees (APCs) for submissions made until 31 December 2025. 

We encourage our delegates to consider submitting their research to the special issue. 

JOURNAL SCOPE:

Machine Learning: Engineering™ is a multidisciplinary open-access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering. The journal’s broad coverage includes (but is not limited to) data-driven applications relating to the following areas:
  • Robotics and automation
  • Networked dynamical systems and control engineering
  • Information engineering, cybersecurity and the Internet of Things
  • Computer vision and image recognition
  • Mechanical engineering
  • Civil and structural engineering
  • Chemical and materials engineering
  • Bioengineering
  • Electrical engineering
  • Industrial engineering, manufacturing processes and production systems
  • Nonlinear systems and control
  • Aerospace and Aeronautical engineering
  • Measurement systems, and signal processing and instrumentation