Plagiarized manuscripts will be rejected.Copying content from other published sources is strictly prohibited.Only manuscripts with 90% original content should be submitted.All manuscripts submitted to Advances in Artificial Intelligence and Machine Learning will undergo Plagiarism check through “PlagScan: Online Plagiarism Checking Software”.The Manuscript with less than 10% plagiarism will be forwarded to Editorial Team.The Manuscript with less than 25% plagiarism, will be sent back to the Author to Re write the manuscript.The manuscript containing more than 25% plagiarism, will be rejected.

What if Plagiarism detected after Publication?

The Journal will initiate an investigation if plagiarism is discovered after publication. If plagiarism is discovered, the editorial office of the journal will contact the author's institute as well as funding agencies. Each page of the PDF will be flagged if the document contains plagiarism. The paper may potentially be formally retracted, depending on the level of the plagiarism.

Acknowledging Author(s) Sources

A related topic is self-plagiarism. We define self-plagiarism in this text as the use of major portions of one's own copyrighted work verbatim or almost verbatim without referencing the original source. Self-plagiarism does not apply to publications based on the author's own previously copyrighted work (e.g., appearing in a conference proceedings) when the preceding publication is explicitly referenced. This type of reuse does not necessitate the use of quotation marks to distinguish the reused material, but it does necessitate the citation of the source.

Copyright

The journal allows the author(s) to hold the copyright and to retain publishing rights without restrictions. Submission of an original copy suggests that the work portrayed has not been PUBLISHED previously (with the exception of as an abstract or as a component of a PUBLISHED lecture, or thesis) and that it isn't getting considered for publication somewhere else. All works PUBLISHED by Advances in Artificial Intelligence and Machine Learning Articles are published in open access. There are no associated subscriptions or pay-per-view fees. and all Open Access articles are distributed under the terms of the (https://creativecommons.org/licenses/by/4.0/) Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

Open Access Statement

This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author, if the original work and source is properly cited.