Submission

The proposed Manuscript should follow the recommended format International journal of Knowledge Exploration in computational Intelligence Template (Journal IJKECI Papers Template - DOCX | PDF) strictly abiding the author guidelines.

The submitted manuscripts should be plagiarism free and might not be published previously elsewhere. Manuscripts are to be submitted in MS Word format (.doc/.docx) by email to “author@benjour.in”

Alternatively, the author can Register and Login to make a submission.

Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.

  • The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
  • I have read and understood the Ethical Guidelines of this journal, agree with the content, and have taken appropriate actions.
  • I have read and understood the Author Guidelines and have adhered to them.

Author Guidelines

As an international, peer-refereed journal, International journal of Knowledge Exploration in computational Intelligence provides a platform for the publication of the most advanced real time, scientific research in the areas of machine learning technology involving model construction, development, deployment and distribution in multi-disciplinary applications. The journal seeks and encourages original empirical explorations.

For manuscripts with a modern or meticulous methodology subdivision, ancillary on-line material outlining the methodology is welcome (e.g., data-description, derivations, syntax code, data samples). The articles may represent a variety of theoretical perspectives and different methodological approaches. They may refer to any research level, from post graduate and to a diversity of research scholars in machine learning and transfer knowledge settings, from university classroom to lab facilities. They may depend on the full spectrum of established methodologies, from laboratory experiments to field observations. Rigor of work may consist of Empirical research designs stating the hierarchical structure of the data and explicitly state how they have addressed the mapping structure in training, testing and validating. Previous publications based on the same idea using the same or similar measures must be acknowledged.

Key Points

  • Articles will be accepted only in English.
  • Page numbers are limited (see APC below)
  • Use IEEE citation style (IEEE Citation Reference).
  • Template: see Author Guidelines

Article Processing Charges (APC)

  • Full papers: 60 USD+Tax – 12-16 pages (+5 USD/each additional page)
  • Short Papers: 40 USD+Tax – 4-8 pages

Copyright Notice

Copyright: 

Authors retain the copyright and the publishing rights for their article without any restrictions. The submitting author warrants that the submission is original and that they are the author of the submission together with the named co-authors; to the extent the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.

Licensing: 

Articles in this journal are published under the Creative Commons Attribution License (CC-BY 4.0). This means that users may share and adapt the articles published on this website in a reasonable manner, but they must give appropriate credit of the creator and indicate the changes they have made. Furthermore, users must not apply additional restrictions, but must publish the work under the same license (CC-BY 4.0).