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DCE Special Collection: Recent Advancements in AI/ML for Data-Driven Learning (PReMI'23)

Data-Centric Engineering (DCE) - an open-access journal at Cambridge University Press (2022 Impact Factor: 3.6) - is delighted to partner with 10th International Conference on Pattern Recognition and Machine Intelligence (PReMI'23) on a special collection (issue) in the journal dedicated to Recent Advancements in AI/ML for Data-Driven Learning.. Authors who took part in the Conference are invited to submit their work to DCE by April 30 2024.

About PReMI'23

The 10th International Conference on Pattern Recognition and Machine Intelligence (PReMI '23), which took place in Kolkata, India in December 2023, was a platform for presenting state-of-the-art scientific results, enabling academic and industrial interactions, and promoting collaborative research activities in Pattern Recognition, Machine Intelligence and related fields, involving scientists, engineers, professionals, academicians, and students. The Conference is a biennial event is an ideal forum for people to share their views and experiences in these areas.

Authors at the conference working on research relevant to Data-Centric Engineering (DCE) - which focuses on the transformative impact of data science in all areas of engineering - are invited to submit to a special collection to be published in DCE in 2024.

Timetable
  • Submission Deadline: April 30, 2024

DCE publishes on a continuous and open-access basis: articles are published as soon as possible after acceptance. All accepted papers will be assembled on a special collection page dedicated to PReMI 2023, introduced by an editorial.

Why Submit to DCE?

✔ A venue dedicated to the potential of data science for all areas of engineering.
✔ Welcoming research and translational articles from authors, whether they are based in academia or industry.
✔ Well-cited (2022 Impact Factor: 3.6; 2022 Cite Score: 3.4) and indexed in Web of Science, Scopus and Directory of Open Access Journals.
✔ #OpenAccess with support for unfunded authors thanks to the Lloyd's Register Foundation - no hard requirement to pay an article processing charge (APC).
✔ Promotes open sharing of data and code through Open Science Badges.

How to Submit

Key considerations for submitting are below, with full details available in the DCE Instructions for Authors. 

Marked-up manuscript

We expect authors who published as part of the official PReMI '23 Proceedings to update or adapt their paper by 30% before submission to DCE. Please provide a marked-up manuscript showing the changes made.

Article types

When they submit to DCE authors are given the following option of article types to select from:

  • Research articles using data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems.
  • Translational papers demonstrating the downstream benefits of data-intensive engineering - and the underlying data science principles, techniques and technologies - to wider society, economy, environment, health and way of life. For some more detailed instructions, see this guide to translational papers.
  • Data papers that describe in a structured way, with a narrative and accompanying metadata, important and re-usable data sets in open repositories with potential for re-use in engineering research and practice. These papers promote data transparency and data re-use.
  • Survey papers providing a detailed, balanced and authoritative current account of the existing literature concerning data-intensive methods in a particular facet of engineering sciences.
  • Tutorial reviews providing an introduction and overview of an important topic of relevance to the journal readership. The topic should be of relevance to both students and researchers who are new to the field as well as experts and provide a good introduction to the development of a subject, its current state and indications of future directions the field is expected to take

We anticipate that most BuildSys articles will be submitted as research articles.

Templates

Authors have the option but are not required to use the following templates:


Note that authors should provide both an abstract that summarises the paper (250 words or less) and beneath it an impact statement (120 words describing the significance of the findings in language that can be understood by a wide audience). Competing interest, funding and data availability statements should be provided at the end of the main text above the references (see disclosure statements).

Articles should be submitted through the DCE ScholarOne Manuscripts system, but note that if you use the Overleaf tool you can submit directly into the system without having to reupload files.

Open Materials

Authors are encouraged to make code and data that supports the findings openly available in a recognised repository and to link to them in the Data Availability Statement in the article. See the DCE Research Transparency policy. Open Data and Open Materials badges will be displayed on published articles that link to replication materials, as a recognition of open practices.

Open Access

Any author can publish on an open access basis in DCE if accepted, irrespective of their funding situation or institutional affiliation. There are no financial barriers to publication. Many articles are covered through the Transformative Agreements that Cambridge has set up with universities worldwide. If the corresponding author on an article is affiliated with a Transformative Agreement this effectively covers open access publishing costs. Authors not affiliated with these agreements who have grants that budget for open access publication are encouraged to pay an article processing charge (APC). However, if an author has no funding and no institutional agreement, the charge will be waived without question. DCE is supported by a grant from the Lloyd’s Register Foundation, which helps subsidise the publishing costs of unfunded authors.

Guest Editors
  • Pradipta Maji (Indian Statistical Institute)
  • Cai Hongmin (South China University of Technology)