Machine Learning Applications: Conference Proceedings takes plagiarism very seriously and has a zero-tolerance policy towards it. Plagiarism is defined as the act of presenting another person's work or ideas as one's own without giving proper credit.

Authors are expected to ensure that their manuscripts are original and have not been previously published or under consideration for publication elsewhere. In addition, authors must appropriately cite any sources of information used in their research.

Machine Learning Applications: Conference Proceedings employs specialized software to detect potential instances of plagiarism in all submitted manuscripts. If plagiarism is found in a manuscript, the following actions will be taken:

1. The manuscript will be rejected immediately.

2. The authors will be notified of the plagiarism and the manuscript will not be considered for publication in the future.

3. The author's institution will be notified of the plagiarism.

4. The names of the authors will be blacklisted, and they will be prohibited from submitting any future manuscripts to Machine Learning Applications: Conference Proceedings.

Machine Learning Applications: Conference Proceedings is committed to upholding the highest standards of academic integrity and expects all authors to comply with these standards. Any instances of plagiarism will not be tolerated, and appropriate action will be taken.

We strongly recommend that authors thoroughly check their manuscripts for potential instances of plagiarism before submission. It is the responsibility of the authors to ensure that their work is original and that all sources of information are appropriately cited.