Journal Name: International Journal of Machine Learning and Engineering
Short Name: IJMLE
ISSN Print: 3136-8808
ISSN Online: 3136-8816
Frequency: Tri-Annually
Name of Publisher: Lyndon & Francis Publishing Group
The International Journal of Machine Learning and Engineering (IJMLE) adheres to high standards of publication ethics, ensuring that all articles published are in compliance with ethical guidelines in research and scholarly publishing. Below are the key components of the Publication Ethics for the journal:
Integrity in Research: Authors, reviewers, and editors are expected to uphold the highest standards of integrity in their work. This includes conducting research with honesty, ensuring that all data is accurate and properly represented, and avoiding manipulation of research results.
Ethical Conduct: All research published in IJMLE must comply with ethical standards. This includes obtaining informed consent from human participants, adhering to animal welfare laws, and ensuring that data is collected and reported responsibly.
Originality: Authors must submit original work that has not been published elsewhere, and they must ensure that the work is not under review by any other journal or publisher at the same time.
Accurate Reporting: Authors are responsible for ensuring the accuracy and integrity of their research findings. They should present data honestly and discuss limitations, errors, and biases that might affect the study.
Proper Citation: Authors must appropriately cite sources and provide proper attribution to the work of others. Failure to do so is considered plagiarism.
Disclosure of Conflicts of Interest: Authors must disclose any financial, personal, or professional conflicts of interest that may influence their work. This includes funding sources, affiliations, and relationships that may affect the objectivity of the research.
Authorship: All individuals who made significant contributions to the study should be included as authors, and those who did not contribute substantially should not be included. Authors must ensure that they have approval from all co-authors before submitting the manuscript.
Data Availability: Authors should provide access to the data supporting their findings, if possible, or clearly state the availability restrictions. Authors should also ensure that the research complies with any data sharing policies in their respective fields.
Impartiality and Confidentiality: Reviewers must evaluate manuscripts objectively and fairly, without bias. They must treat the content of the manuscript as confidential and not disclose or discuss it with others unless authorized by the editorial team.
Constructive Feedback: Reviewers should provide clear, constructive feedback to the authors. If a reviewer has concerns about the manuscript’s validity, they should raise them respectfully and with evidence to support their comments.
Conflict of Interest: Reviewers should not review manuscripts if they have a conflict of interest with the authors or their work. This includes personal, professional, or financial conflicts that could affect their impartiality.
Fair and Transparent Decision Making: Editors should ensure that the manuscript review process is fair, transparent, and unbiased. They are responsible for making decisions based on the scientific merit of the manuscript and the reviewers’ feedback.
Confidentiality: Editors must handle all manuscripts and their content confidentially, ensuring that they are not disclosed to third parties without authorization.
Conflict of Interest: Editors should not be involved in decisions about manuscripts in which they have a conflict of interest. They should ensure that no personal or financial interests affect their editorial decisions.
Maintaining Ethical Standards: Editors are responsible for ensuring that the journal upholds ethical standards in all aspects of publication, from submission through to post-publication. They should take action if any ethical concerns, such as plagiarism, fraud, or data manipulation, arise.
Publication of Corrections: If an article contains errors or requires a correction post-publication, editors are responsible for facilitating the publication of a correction or retraction. They must ensure that any necessary amendments are made to uphold the integrity of the journal.
Plagiarism: If plagiarism is identified at any stage of the manuscript evaluation or publication process, IJMLE will take appropriate action, including rejection of the manuscript or retraction of the article. The author may be banned from submitting to the journal in the future if plagiarism is detected.
Fabrication and Falsification: Any instances of data fabrication or falsification will result in the immediate rejection or retraction of the manuscript. IJMLE will investigate any allegations of research misconduct and take appropriate steps in accordance with ethical guidelines.
Duplicate Publication: Submissions that have been previously published elsewhere or are under consideration for publication elsewhere will be rejected. Authors should ensure that their work is not being simultaneously submitted to multiple journals.
Corrections and Retractions: If errors are found in an article after publication, the journal will work with the authors to correct the record. If the article contains significant issues such as plagiarism or data manipulation, the journal will issue a retraction. A retraction notice will clearly explain why the article was retracted.
Revisions and Appeals: If an article is rejected, authors have the right to appeal the decision. The journal will carefully consider the appeal and make any necessary adjustments to the review process if appropriate.
Promoting Ethical Publishing: IJMLE encourages authors, reviewers, and editors to follow best practices in scholarly publishing. The journal provides resources and guidelines to help authors understand ethical issues in publishing.
Human Participants: Research involving human participants must comply with the principles outlined in the Declaration of Helsinki. Authors must provide evidence of informed consent for any research involving human participants, and all studies should be approved by an appropriate ethics committee.
Animal Research: Research involving animals must comply with ethical guidelines for animal welfare. Authors should ensure that the research was conducted in accordance with national and international regulations on animal rights.
Journal Name: International Journal of Machine Learning and Engineering
Short Name: IJMLE
ISSN Print: 3136-8808
ISSN Online: 3136-8816
Frequency: Tri-Annually
Name of Publisher: Lyndon & Francis Publishing Group