The review method for AI Publications is basically a top quality management mechanism to provide its best publication. This is often the method by which field specialists judge the projected works, and its application to make sure a prime quality of revealed work. However, the peer reviewers don't build the decision to reject or accept the articles however they suggest a decision. At peer-reviewed journal, decision-making authority rests only with the journal’s editorial board.
Normally there are three types of peer review processing for journal publication,
All Journals of AI Publications are double blind-reviewed journals. Normally, we elect a minimum of two reviewers for the review. Peer reviewers are specialists in their field. We have a tendency to usually build a pool of peer reviewers that have an honest record of producing high-quality reviews. Or we have a tendency to scan the bibliography to spot potential reviewers or contact researchers they met at conferences and seminars for review process.
The Journal editorial boards consider the report or feedbacks provided by the peer reviewers in a piece of writing and take a call. The foremost common choices, that we have a tendency to make for an article publication, are: