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.
Other technical areas of interest include high-speed computing, numerical methods, structural optimization, variational methods, stability, fatigue and fracture mechanics, plasticity, and related basic applied mechanics and mechanics-based design. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.
Metal Powder Report covers the powder metallurgy industry worldwide. Each issue carries news and features on technical trends in the manufacture, research and use of metal powders.Metal Powder Report is recognised by parts manufacturers and end-users worldwide for authoritative and high quality reporting and analysis of the international powder metallurgy industry.Included in your Metal Powder Report subscription will be the PM World Directory. This extensive directory will provide you with a valuable comprehensive guide to suppliers of materials, equipment and services to the PM industry.
The journal serves as a platform for academic exchange by experts, scholars and researchers in these fields.
Railway Sciences (RS) is an international, open access, peer-reviewed journal publishing research covering all aspects of railway, in association with China Academy of Railway Sciences.