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Engineering Applications of Artificial Intelligence (EAAI)

Publisher :

Elsevier Ltd

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Peer reviewed only
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Open Access
  • Electrical
  • Artificial Intelligence
  • Systems Engineering
e-ISSN :

1873-6769

Issue Frequency :

Monthly

Impact Factor :

8

p-ISSN :

0952-1976

Est. Year :

1988

Mobile :

31204853911

Country :

Netherlands The

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

usinfo@sciencedirect.com

Role In Research Journal

Prof. Patrick Siarry
Nisha Patil

Reviewer

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 - 0952-1976, E-ISSN - 1873-6769, Established in - 1988, Impact Factor - 8

Not Provide Crossref DOI

Indexed in Scopus, PubMed

Not indexed in WoS, DOAJ, UGC CARE

Indexing

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+11 More

Publications of EAAI

Research Article
  • dott image Andrija Petrovic
  • dott image March, 2023

Controlling highway toll stations using deep learning, queuing theory, and differential evolution

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...

Research Article
  • dott image Jalaj Pachouly
  • dott image May, 2022

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

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...

Research Article
  • dott image August, 2023

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

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...

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