Plagiarism Policy

Papers submitted to Journal of Intelligent Systems Engineering and Applied Data Science (JISEADS) will be checked for plagiarism using the CrossCheck/iThenticate plagiarism detection tools. The JISEADS will reject papers that contain plagiarism or self-plagiarism right away. A member of the editorial team checks for similarity/plagiarism before submitting articles to reviewers. The papers submitted to Journal of Intelligent Systems Engineering and Applied Data Science (JISEADS) must have a similarity level of less than 10% (Exclude Bibliography) and a similarity score of no more than 3% to each source.

The act of presenting the ideas or words of another person as one's own without their permission, credit, or acknowledgement, or because of a failure to properly cite the sources, is considered to be plagiarism. The act of plagiarizing someone else's work can take many forms, ranging from the direct copying of that work to the paraphrasing of that work. In order to arrive at an accurate conclusion regarding whether or not an author has plagiarized, we will emphasize the following possible situations:

• An author may literally copy another author's work, word for word, in whole or in part, without permission, acknowledgement, or citation of the original source. By comparing the original source and the manuscript/work suspected of plagiarism, this practice can be identified.
• Substantial copying entails reproducing a substantial portion of another author's work without permission, acknowledgement, or citation. The term substantial can be understood in terms of both quality and quantity, and it is frequently used in the context of intellectual property. The relative value of the copied text in relation to the work as a whole is referred to as quality.
• Taking ideas, words, or phrases from a source and crafting them into new sentences within the writing is what paraphrasing is all about. When the author fails to properly cite or acknowledge the original work/author, the practice becomes unethical. This type of plagiarism is the most difficult to detect.