Manuscript Submission
I-SMAC 2022 invites Academicians/ Researchers/Industrialists/Students for
submitting their novel, previously unpublished and high-quality research
papers. The conference will be focused on addressing research challenges in
the field of “Artificial Intelligence and Machine Learning”. Kindly note
that the submissions are not limited to the topics mentioned in the
conference call for papers.
All papers that confirm submission guidelines will be double-blind
peer-reviewed and evaluated based on its research novelty, technical and/or
research content, correctness, relevance to conference, contributions, and
readability. Acceptance of papers will be only communicated to authors by
their email. The authors of the accepted papers will be allowed to make
corrections in accordance with the suggestions of the reviewers and submit
final camera-ready papers within the stipulated deadline.
Travel Grant will be provided to selected IEEE student members with
the best research works.
GENERAL GUIDELINES
Ensure that your paper is formatted as per Template.
All submissions will be peer-reviewed by experts based on its research significance, novelty and clarity. The papers that include original content with novel research results or successful applications will be considered for publication.
The number of authors should not exceed 6. If it exceeds, the corresponding author should clearly state the contribution of every author to the submitted research work.
The committee normally communicates its decision via Email. All papers must be submitted in either American or British English.
Do submit the copyright form and final paper only if the submitted paper is officially accepted by the committee and you are FULLY registered for the conference after paying the conference registration fee.
SUBMISSION METHODS
The research article should be according to the aforementioned template,
and provided in electronic form (MS-Word/PDF) by email to
[email protected]
IEEE E-Copyright Submission
ACADEMIC ETHICS
Any kind of self-plagiarism or plagiarism from the work(s) of others should
be avoided in an article. If you use a
model/concept/figure/table/data/conclusive comment from a previously
published work in your paper, you must properly cite the source work.
The paper prior to submission should be checked for plagiarism from licensed
plagiarism software.
If you are using any copyrighted material, a prior permission should be
taken from the copyright holder.
The plagiarism content should not exceed 15% and similarity content should
not exceed 5%.
