About Peer Review

Peer review is a system for evaluating a manuscript's quality before it is published. To assist editors in determining whether an article should be published in their journal, external-independent researchers in the relevant research area analyze submitted manuscripts for originality, validity, and significance. The peer Reveiw is done by External Reviewers.

Basic principles to be followed by peer reviewers:

Peer reviewers should:

• Only agree to review submissions for which they have the required subject expertise and can provide an accurate assessment in a timely manner.
• Respect the confidentiality of peer review and do not reveal any details about a manuscript or its review, other than those released by the journal, during or after the peer-review process.
• not to utilise information obtained during the peer-review process to their own or any other person's or organization's benefit, or to harm or discredit others
• Declare all potential conflicts of interest, and seek help from the journal if they're not sure if something qualifies as a relevant interest.
• not let the origins of a manuscript, the authors' nationality, religious or political beliefs, gender, or other characteristics, or commercial considerations influence their reviews
• be objective and constructive in their reviews, and avoid being hostile or inflammatory, as well as making libellous or derogatory personal remarks
• provide journals with precise and complete personal and professional information that reflects their expertise
• Recognize that impersonating another person during the review process is a serious offense.

The Process

A manuscript is evaluated when it is submitted to a journal to see if it fits the submission standards. If it does, the editorial team will identify possible peer reviewers from the relevant field to assess the work and give recommendations.

The Peer Review followed by Advances in Artificial Intelligence and Machine Learning:

Single Blind Peer Review: The reviewers are aware of the authors' names, but the authors are unaware of who reviewed their manuscript.

Plagiarism Policy

Plagiarism Policy for the Publication: 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.