Author Policies
- Human and Animal Rights Policy
- Rights and Grants to the Author
- Copyright Policy
- Submission of Manuscript
- Check List
- Digital Preservation
- Open Access Policy
- English Language Editing
- Participant/Patient Privacy and Informed Consent
- Data Sharing Policy
- Sample Paper
- Author’s Agreement Form
- Manuscript Preparation
- Article Processing Charge
- Complaints Policy
- APC Waiver Policy
- Withdrawal Policy
- Errata, Retractions, and Corrigenda Policy
- Licensing Policy
- Plagiarism Policy
- Human and Animal Rights Policy: The journal Future and Emerging Technologies in AI & ML upholds the highest standards of ethical conduct in research involving humans and animals. Studies involving human participants must adhere to internationally recognized ethical guidelines, including obtaining informed consent, ensuring participant confidentiality, and safeguarding participant well-being. Research involving animals should follow legal and ethical standards, ensuring humane treatment and minimal suffering. Authors are required to provide ethical approval from relevant committees, and any research that violates these standards will not be accepted for publication. The journal maintains a strong commitment to promoting ethical research practices that respect both human and animal rights in AI and ML studies.
- Rights and Grants to the Author: Upon submission, authors retain full ownership of their work, including intellectual property rights. However, by submitting a manuscript to Future and Emerging Technologies in AI & ML, authors grant the journal the right to evaluate and publish the work, including any supplementary materials, provided it adheres to all policies. Authors are entitled to receive proper acknowledgment for their work. In case the paper is accepted, authors grant the journal a license to publish the article under the journal’s open-access model. Financial grants and sponsorship related to the research should be acknowledged, and any potential conflicts of interest must be disclosed. Authors also agree to ensure that all funding sources comply with ethical research standards.
- Copyright Policy: All articles published in Future and Emerging Technologies in AI & ML are subject to the journal’s copyright policy. Authors retain the copyright of their work, but they grant the journal an exclusive license to publish the article under the open-access model. This ensures that the article is freely accessible to the public while allowing the author to reuse the content in future publications. Authors are required to acknowledge any third-party content (e.g., figures, tables) included in their manuscript and to obtain proper permissions. The journal encourages the dissemination of research to the widest possible audience while maintaining legal rights over the content.
- Submission of Manuscript: To ensure a streamlined review process, all manuscripts must be submitted through the journal’s online submission system. Submissions should adhere to the journal's specific formatting and content guidelines. Authors must ensure that the manuscript has not been submitted simultaneously to other journals and that it has not been published previously. Each manuscript will undergo an initial review by the editorial team to ensure it fits within the scope of the journal. The manuscript should include a cover letter, a conflict-of-interest statement, and any necessary ethical approval documentation. Upon acceptance, the manuscript will undergo a peer review process to evaluate its scientific merit and relevance.
- Check List: Authors submitting manuscripts to Future and Emerging Technologies in AI & ML are required to adhere to the submission checklist. The checklist includes verifying that the manuscript meets all formatting requirements, ensuring the title and abstract are clear and concise, and that references are correctly formatted according to the journal's citation style. Authors must also confirm that all co-authors have reviewed and agreed to the manuscript, that necessary ethical approvals are in place, and that conflicts of interest have been disclosed. The submission checklist ensures that authors follow all necessary steps for smooth processing, ultimately leading to a more efficient peer-review and publication cycle.
- Digital Preservation: Future and Emerging Technologies in AI & ML adheres to best practices for digital preservation. All published articles are archived and stored in a secure, reliable, and accessible digital repository. The journal is committed to ensuring long-term access to its content, including both current and back-issues, through partnerships with trusted preservation services. This ensures that research outputs remain accessible for future generations of researchers and practitioners. In addition, the journal maintains backup copies of published content to safeguard against data loss and ensures that all archived material complies with industry standards for digital preservation.
- Open Access Policy: The journal Future and Emerging Technologies in AI & ML follows an open-access policy, making all published articles freely available to readers around the world. By adopting this model, the journal ensures that research findings are accessible without financial or institutional barriers, fostering wider dissemination and visibility. Authors benefit from increased reach and impact of their work, while readers gain unrestricted access to high-quality research. The journal is committed to promoting equitable access to knowledge, in alignment with the Open Access movement, while also complying with relevant funders' open-access requirements.
- English Language Editing: To ensure clarity and quality, Future and Emerging Technologies in AI & ML recommends that authors whose first language is not English use professional English language editing services before submitting their manuscript. This helps to improve the readability and overall quality of the manuscript. The journal may request language editing if the manuscript requires improvements in grammar, structure, or clarity during the peer-review process. Authors should ensure their work is presented in a manner that meets the journal’s standards for academic writing and that it can be understood by an international audience.
- Participant/Patient Privacy and Informed Consent: The journal adheres to strict ethical standards regarding participant and patient privacy. Any research involving human participants must comply with ethical guidelines for privacy and confidentiality. Authors are required to obtain informed consent from all participants, ensuring they understand the nature of the research and their rights. In cases of medical or clinical research, authors must follow the relevant institutional guidelines for protecting patient privacy and submit a statement confirming that all necessary permissions have been obtained. The journal also requires that any personal information about participants be anonymized, and identifiers should not be included in published work unless necessary and authorized.
- Data Sharing Policy: Future and Emerging Technologies in AI & ML promotes transparency and reproducibility by encouraging authors to share their research data. Authors are strongly encouraged to make datasets, algorithms, and models underlying their research publicly available through reputable data repositories, in accordance with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability). The journal requests that authors provide a Data Availability Statement detailing where and how the data can be accessed, or explain any restrictions. This policy aims to facilitate further research, validation, and innovation while maintaining the integrity of the scientific process.
- Sample Paper: The journal provides a sample paper template to help authors adhere to the correct format and submission guidelines. The sample paper includes the required sections such as the title, abstract, keywords, main body, figures and tables, references, and acknowledgments. Authors are encouraged to use this template as a guide for their submissions to ensure that their manuscript meets the necessary formatting and structural requirements. The template also provides information on how to present figures and tables, cite references, and structure the manuscript for clarity and flow.
- Author’s Agreement Form: Upon acceptance of a manuscript, authors are required to complete and sign an Author’s Agreement Form. This form outlines the terms under which the journal will publish the manuscript, including the copyright license, ethical considerations, and any conflicts of interest. The agreement ensures that authors understand and consent to the journal’s policies, including the open-access model, data sharing requirements, and publication fees. This form also serves as a legal agreement confirming that the manuscript is original and not under consideration elsewhere, and that the authors have all necessary permissions for any third-party content included.
- Manuscript Preparation: To streamline the submission process, Future and Emerging Technologies in AI & ML requires authors to prepare their manuscripts according to the journal's specific guidelines. This includes formatting the manuscript in the prescribed layout, which consists of a structured abstract, clearly organized sections (Introduction, Methodology, Results, Discussion, Conclusion), and properly formatted citations and references. Manuscripts should be concise, with clear, jargon-free language suitable for an international readership. Authors should ensure that all figures, tables, and supplementary materials are properly labeled and referenced in the text, and that all ethical considerations are addressed.
- Article Processing Charge: To maintain the journal’s open-access policy, an Article Processing Charge (APC) is required from authors once their paper has been accepted for publication. This fee helps cover the costs associated with peer review, editorial work, formatting, and the production of the article. The APC is typically invoiced after acceptance and must be paid before the article is published. The journal provides detailed information on the APC rates, including potential discounts or waivers for authors from developing countries or those with financial constraints. Authors are encouraged to explore funding options available through their institutions or research grants.
- Complaints Policy: The journal Future and Emerging Technologies in AI & ML takes complaints and ethical concerns seriously. If authors, reviewers, or readers have any concerns regarding the publication process or the conduct of research, they can submit a formal complaint to the editorial office. The journal will address complaints promptly, following established guidelines for handling issues related to plagiarism, conflicts of interest, or unethical conduct. All complaints will be thoroughly investigated, and appropriate actions will be taken to resolve any issues. Authors and stakeholders are encouraged to raise concerns in a constructive and professional manner.
- APC Waiver Policy: The journal recognizes that some authors may face financial difficulties, and in such cases, the journal offers an Article Processing Charge (APC) waiver policy. Authors from low-income countries, or those whose research is funded by specific grants that do not cover APCs, may request a waiver. Waivers are considered on a case-by-case basis, with priority given to authors who meet the financial need criteria. To apply for an APC waiver, authors must submit a formal request, outlining their circumstances, along with their manuscript submission. The journal aims to ensure equitable access to publication opportunities regardless of financial constraints.
- Withdrawal Policy: Once a manuscript has been submitted to Future and Emerging Technologies in AI & ML, authors may request withdrawal of their manuscript before it undergoes peer review. If the manuscript is under review, authors may withdraw it with permission from the editorial board. If an article has already been accepted or published, withdrawal is not typically allowed unless there is a valid reason, such as significant errors or ethical concerns. Authors requesting withdrawal after acceptance or publication must provide a detailed explanation. Withdrawal after publication may result in retraction, depending on the circumstances.
- Errata, Retractions, and Corrigenda Policy: In the event of errors, significant mistakes, or issues of scientific integrity in a published article, the journal follows a policy of issuing errata, corrigenda, or retractions as appropriate. If an error is identified post-publication, authors are encouraged to submit a correction notice or corrigendum to clarify the issue. In cases where serious ethical violations or falsification of data are discovered, the article may be retracted, and the reason for retraction will be clearly stated. The journal is committed to maintaining the accuracy and integrity of its published content and will take all necessary steps to correct the record.
- Licensing Policy: All articles published in Future and Emerging Technologies in AI & ML are made available under a Creative Commons license, which permits readers to freely share, distribute, and reuse the content, with proper attribution. The journal uses a specific Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license, which allows others to remix, tweak, and build upon the work non-commercially, as long as they credit the author(s) and license their new creations under identical terms. This licensing policy supports open access and encourages the widespread dissemination and use of scientific knowledge.
- Plagiarism Policy: Future and Emerging Technologies in AI & ML has a zero-tolerance policy toward plagiarism and academic misconduct. All manuscripts are checked for originality, and any content that is found to have been plagiarized from other sources will be rejected immediately. Authors are required to properly cite all sources of data, ideas, and text that are not their own, including figures, tables, and quotes. The journal follows strict guidelines in cases of suspected plagiarism, including notifying the author and conducting a thorough investigation. Authors found guilty of plagiarism may face retraction of their articles and bans from future submissions.