Computer Vision and Machine Learning is now open for submissions on all aspects of computer vision and artificial intelligence. Both high-level original research articles and timely reviews are very welcome. All submitted manuscripts will be subject to a thorough peer-reviewing process.
All manuscripts must be submitted online through SCIEPublish manuscript platform.
Manuscripts submitted to Computer Vision and Machine Learning should neither be published previously nor be under consideration for publication in another journal. The main article types are as follows:
4.1. Ethics in Publishing
4.2. Changes to Authorship
This policy concerns the addition, deletion, or rearrangement of author names in the authorship of accepted manuscripts:
Before the accepted manuscript is published in an online issue: Requests to add or remove an author, or to rearrange the author names, must be sent to the Journal Manager. Requests that are not sent by the corresponding author will be forwarded by the Journal Manager to the corresponding author, who must follow the procedure as described above.
After the accepted manuscript is published in an online issue: Any requests to add, delete, or rearrange author names in an article published in an online issue will follow the same policies as noted above and result in a corrigendum.
4.3. Submission Declaration and Verification
Submission of an article implies that the work described has not been published previously (except in the form of an abstract, a published lecture or academic thesis or preprint), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, it will not be published elsewhere in the same form, in English or in any other language, including electronically without the written consent of the copyright-holder. To verify originality, your article may be checked by the originality detection service.
4.4. Use of Inclusive Language
Inclusive language acknowledges diversity, conveys respect to all people, is sensitive to differences, and promotes equal opportunities. Content should make no assumptions about the beliefs or commitments of any reader; contain nothing which might imply that one individual is superior to another on the grounds of age, gender, race, ethnicity, culture, sexual orientation, disability or health condition; and use inclusive language throughout. Authors should ensure that writing is free from bias, stereotypes, slang, reference to dominant culture and/or cultural assumptions. We advise seeking gender neutrality by using plural nouns ("clinicians, patients/clients") as default/wherever possible to avoid using "he, she," or "he/she." We recommend avoiding the use of descriptors that refer to personal attributes such as age, gender, race, ethnicity, culture, sexual orientation, disability or health condition unless they are relevant and valid. These guidelines are meant as a point of reference to help identify appropriate language but are by no means exhaustive or definitive.
5.1. Subdivision - Numbered Sections
Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1 (then 1.1.1, 1.1.2, ...), 1.2, etc. (the abstract is not included in section numbering). Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Each heading should appear on its own separate line.
State the objectives of the work and provide an adequate background, avoiding a detailed literature survey or a summary of the results.
Material and Methods
Provide sufficient details to allow the work to be reproduced by an independent researcher. Methods that are already published should be summarized, and indicated by a reference. If quoting directly from a previously published method, use quotation marks and also cite the source. Any modifications to existing methods should also be described.
Results should be clear and concise.
This should explore the significance of the results of the work, not repeat them. A combined Results and Discussion section is often appropriate. Avoid extensive citations and discussion of published literature.
The main conclusions of the study may be presented in a short Conclusions section, which may stand alone or form a subsection of a Discussion or Results and Discussion section.
This refers to the supporting information. It will be named as Figure S1: title; Table S1: title; Video S1: title, etc.
If there is more than one appendix, they should be identified as A, B, etc. Formulae and equations in appendices should be given separate numbering: Eq. (A.1), Eq. (A.2), etc.; in a subsequent appendix, Eq. (B.1) and so on. Similarly for tables and figures: Table A.1; Fig. A.1, etc.
5.2. Essential Title Page Information
•Title. Concise and informative. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible.
•Author names and affiliations. Please clearly indicate the given name(s) and family name(s) of each author and check that all names are accurately spelled. You can add your name between parentheses in your own script behind the English transliteration. Present the authors' affiliation addresses (where the actual work was done) below the names. Indicate all affiliations with a lower-case superscript letter immediately after the author's name and in front of the appropriate address. Provide the full postal address of each affiliation, including the country name and, if available, the e-mail address of each author.
•Corresponding author. Clearly indicate who will handle correspondence at all stages of refereeing and publication, also post-publication. This responsibility includes answering any future queries about Methodology and Materials. Ensure that the e-mail address is given and that contact details are kept up to date by the corresponding author.
•Present/permanent address. If an author has moved since the work described in the article was done, or was visiting at the time, a 'Present address' (or 'Permanent address') may be indicated as a footnote to that author's name. The address at which the author actually did the work must be retained as the main, affiliation address. Superscript Arabic numerals are used for such footnotes.
•Publication History. The submission date, revised date, and accepted date will be included in this part.
The whole processing of the manuscript can be referred in this Figure:
After the submission steps completed, the paper will go through plagiarism check. Then it will be sent to the Editors for pre-check. The paper will be sent for peer-review after the initial check by editors.
This journal operates a single anonymized review process. All contributions will be initially assessed by the editor for suitability for the journal. Papers deemed suitable are then typically sent to a minimum of two independent expert reviewers to assess the scientific quality of the paper. The Editor is responsible for the final decision regarding the acceptance or rejection of articles. The Editor's decision is final.
Editors are not involved in decisions about papers that they have written themselves or have been written by family members or colleagues or which relate to products or services in which the editor has an interest. Any such submission is subject to all of the journal's usual procedures, with peer review handled independently of the relevant editor and their research groups.
Based on the review reports and the decision by Academic Editor, the decision (Minor Revision/ Major Revision) will be provided to the authors.
The Academic Editor will make an overall editorial decision based on the reviewers' comments.
Once accepted, the manuscript will undergo professional layout, English editing, and proofreading by the authors.
The final published version of the article is available open access on Computer Vision and Machine Learning and can be shared through the article DOI link for corresponding authors who have published their article gold open access.