Engineering Applications of Artificial Intelligence

Engineering Applications of Artificial Intelligence - ISSN 0952-1976
Source Normalized Impact per Paper (SNIP): 2.259 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.106 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 4.201 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 3.81 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 10
Issues: 10 issues
ISSN: 09521976
Editor-in-Chief: Abraham

Personal Subscription

Sales tax will be calculated at check-out Price includes VAT/GST

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.

Focal points of the journal include, but are not limited to innovative applications of:

  • Internet–of–things and cyber-physical systems
  • Intelligent transportation systems & smart vehicles
  • Big data analytics, understanding complex networks
  • Neural networks, fuzzy systems, neuro-fuzzy systems
  • Deep learning and real world applications
  • Self-organizing, emerging or bio-inspired system
  • Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.
  • Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control
  • Decision-support systems
  • Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning
  • Applications of chaos theory and fractals
  • Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics
  • Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems
  • Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis
  • Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability
  • Intelligent fault detection, fault analysis, diagnostics and monitoring
  • Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises

Engineering Applications of Artificial Intelligence publishes:

  • Survey papers/tutorials
  • Contributed papers — detailed expositions of new research or applications
  • Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications
  • IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature

For more details on the International Federation of Automatic Control (IFAC), visit their home page at

Software publication

We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

For more information contact us at: