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Journal Photo for Engineering Applications of Artificial Intelligence
Peer reviewed only Open Access

Engineering Applications of Artificial Intelligence (EAAI)

Publisher : Elsevier Ltd
Electrical Artificial Intelligence Systems Engineering
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e-ISSN 1873-6769
p-ISSN 0952-1976
Issue Frequency Monthly
Impact Factor 8
Est. Year 1988
Mobile 31204853911
Country Netherlands The
Language English
APC YES
Impact Factor Assignee Google Scholar
Email usinfo@sciencedirect.com

Journal Descriptions

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.

Engineering Applications of Artificial Intelligence (EAAI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Electrical, Artificial Intelligence, Systems Engineering , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0952-1976, E-ISSN: 1873-6769, Established: 1988, Impact Factor: 8
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, PubMed

  • Not indexed in WoS, DOAJ, UGC CARE

Indexing

Role In Research Journal

Nisha Patil Profile Photo
Nisha Patil
Reviewer

Publications of EAAI

Controlling highway toll stations using deep learning, queuing theory, and differential evolution
Pietro Liò March, 2023
Traffic congestion is, nowadays, one of the most important highway problems. Highway tolls with booth operators are one of the causes of traffic congestion on highways, especially in rush ho...
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
Ketan Kotecha May, 2022
Delivering high-quality software products is a challenging task. It needs proper coordination from various teams in planning, execution, and testing. Many software products have high numbers...
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Ketan Kotecha August, 2023
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. The majority of these machines comprise rotating components and are called rotating m...