Ajou University repository

Advanced Engineering Informatics
ISSN
  • E1873-5320
  • P1474-0346
Publisher

Pergamon Press Ltd.

Listed on
(Coverage)

JCR2003-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
ENGLAND
Aime & Scopes
Advanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging. Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically: /// Report progress in the engineering discipline of applying methods of engineering informatics. /// Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative. /// Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks. /// Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively. In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research. Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.
Article List

Showing results 1 to 4 of 4

Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery
  • Kim, Yong Chae;
  • Ko, Jin Uk;
  • Lee, Jinwook;
  • Kim, Taehun;
  • Jung, Joon Ha;
  • Youn, Byeng D.
  • 2024-10-01
  • Advanced Engineering Informatics, Vol.62
  • Elsevier Ltd
Massive-Scale construction dataset synthesis through Stable Diffusion for Machine learning training
  • Hong, Sungkook;
  • Choi, Byungjoo;
  • Ham, Youngjib;
  • Jeon, Jung Ho;
  • Kim, Hyunsoo
  • 2024-10-01
  • Advanced Engineering Informatics, Vol.62
  • Elsevier Ltd
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery
  • Kim, Taehun;
  • Ko, Jin Uk;
  • Lee, Jinwook;
  • Chae Kim, Yong;
  • Jung, Joon Ha;
  • Youn, Byeng D.
  • 2024-10-01
  • Advanced Engineering Informatics, Vol.62
  • Elsevier Ltd
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