As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
The submission is a Word file, created using the appropriate document template of the Journal of Artificial Intelligence and Technology.
The text adheres to the technical requirements outlined in the Author Guidelines.
I have read and understand the copyright and license agreement.
I have read Conflict of Interests Policy and agree to declare any and all conflicts involving myself or my co-authors in the "Comments for the Editor" field. If there are no conflicts, I will declare that there are no conflicts in the "Comments for the Editor" field.
Submission to this journal proceeds totally online. Use the following guidelines to prepare your article.
For our Microsoft Word submission template, please download the file here.
The following article types are included in the Journal of Artificial Intelligence and Technology:
Original Research Article: report of original research findings and data.
Review: critically examines the body of research on a particular subject and give insights/informed opinions on the direction and future of the research field.
Length: original research articles submitted to this journal should conform to a maximum length of 8 pages when formatted using our double column template provided in submission template, which summarize current research in a particular area, have a maximum length limit of 12 pages. These guidelines include all content such as the abstract, figures, references and the appendices.
Format: papers must be typed in a font size no smaller than 12 pt and should be in standardized fonts such as Times New Roman or Arial. All pages should be numbered. Authors should not copy the format of the published journal.
Language, spelling and grammar: all papers must be written in English. If English is not your first language, you should ask an English-speaking colleague to proofread your paper.
Author affiliations: these should immediately follow the title. For multiple-authored articles, list the full names of all the authors, followed by the email addresses. If an author's present address is different from the address at which the work was carried out, this should be given as a footnote. All co-authors must be listed on the manuscript submission and peer review site as part of the submission process.
Abstract: this should be informative and suitable for direct inclusion in abstracting services as a self-contained article. It should not exceed 300 words. It should indicate the general scope and also state the main results obtained, methods used, the value of the work and the conclusions drawn. No figure numbers, table numbers, references should be included.
Tables: tables should be referred to explicitly in the text. Tables should be referred to in numerical order.
Funding: You should list all funding sources in the Acknowledgments section. You are responsible for the accuracy of their funder designation.
Cover letters are required for all submissions.
Cover letters must include a statement of originality and confirmation that this paper has not been submitted to any other journals.
If your manuscript has previously been submitted to this or any other journal and subsequently rejected, you must provide copies of all correspondence involving the earlier submission including the final decision letter. You must also include an additional document detailing how you have improved your paper from the previous rejected version. Please upload this document alongside both your submitted manuscript file and your cover letter. Failure to do so may cause delays or interruptions to paper processing and will result in the rejection of your manuscript.
If your manuscript was previously a conference paper please attach the paper and details of how the manuscript has been expanded.
Information of Consent
Authors should ensure that the individual rights of all the participants who are involved in the study are protected. Identifying details (eg, names and dates of birth) of the participants that were studied should not be published in written descriptions, photographs, and genetic profiles unless the information is essential for scientific purposes and the participant (or parent or guardian if the participant is incapable) gave written informed consent for publication.
Articles are digitally archived in PKP PN.
To maintain the integrity of the scientific record and avoid inconsistencies downstream, minor corrections that do not affect the scientific understanding of the paper (for example formatting or typographical errors or preference of wording) may be rejected if submitted post-publication.
The correction procedure depends on the publication stage of the article, but in all circumstances, a correction notice is released as soon as possible:
Early Access publication: We will consider replacing the Early Access version with an updated version that corrects the error and notes the changes that have been made and the date(s) on which the changes were made (in a correction notice at the end of the article).
Publication in an issue: If the article has already appeared in an issue, a correction notice will be released in the next available electronic and print issue. The online version of the article will link to the correction notice.
Retractions are considered by journal editors in cases of evidence of unreliable data or findings, plagiarism, duplicate publication, and unethical research. All retraction notices explain why the article was retracted. A retraction notice will also be published in the next available electronic and print issue.
Editors should consider retracting a publication if:
They have clear evidence that the findings are unreliable, either as a result of major error (eg, miscalculation or experimental error), or as a result of fabrication (eg, of data) or falsification (eg, image manipulation).
It constitutes plagiarism.
The findings have previously been published elsewhere without proper attribution to previous sources or disclosure to the editors, permission to republish, or justification (ie, cases of redundant publication).
It contains material or data without authorization for use.
Copyright has been infringed or there is some other serious legal issue (eg, libel, privacy).
It reports unethical research.
It has been published solely on the basis of a compromised or manipulated peer review process.
The author(s) failed to disclose a major competing interest would have unduly affected interpretations of the work or recommendations by editors and peer reviewers.
All listed authors should have contributed to the manuscript substantially and have agreed to the final submitted version. The corresponding author or a person who is submitting the article must provide details (full name, institutional affiliation, address for communication and e-mail address) for all the authors. It is corresponding author's responsibility to notify all the authors of the article regarding submission and further process related to the submitted article.
Authors are expected to consider carefully the list and order of authors before submitting their manuscript and provide the definitive list of authors at the time of the original submission. Any addition, deletion, or rearranging of author names in the authorship list should only occur prior to the manuscript's acceptance and with the Journal Editor-in-Chief's approval.
To request such a change, the Editor-in-Chief must receive the following from the corresponding author:
The rationale for the revised author list.
Written confirmation (e-mail, letter) from all authors that they agree with the addition, removal or rearrangement.
The journal accepts articles previously published on preprint servers. You are requested to update any pre-publication versions with a link to the final published article. You may also post the final published version of the article immediately after publication.
Conflict of Interest
All authors should disclose in their manuscript any financial and personal relationships with other people or organisations that could be viewed as inappropriately influencing their work. Examples of potential conflicts of interest which should be disclosed include employment, consultancies, stock ownership, paid expert testimony, patent applications/registrations, and grants or other funding.
Authors may appeal if they feel that the decision to reject was based on: i) a major misunderstanding over a technical aspect of the manuscript; or ii) a failure to understand the scientific advance shown by the manuscript. Appeals requesting a second opinion without sufficient justification will not be considered. To lodge an appeal, please contact Journal Editorial Office by email, quoting your manuscript number. Appeals will only be considered from the original submitting author.
SI:Cognitive-Inspired Computational Computing for Intelligent Health Informatics
Call for Papers
The special issue introduces the importance and emerging era of cognitive computations in healthcare that combines with massive medical data, Artificial intelligence, computing and informatics, federated learning, Bio-inspired computation, Internet of Medical Things, health data protection, and semantic database, Content-based image retrieval, augmented/virtual/mixed reality etc. The health monitoring and diagnosis for the target structure of interest are achieved through the interpretation of collected data. The advances in sensor technologies and data acquisition tools have led to the new era of big data, where massive medical data are collected by different sensors. This large volume of data, often called big data, cannot readily be processed by traditional data processing algorithms and applications. By intelligently investigating and collecting large amounts of healthcare data (i.e., big data), the sensor can enhance the decision-making process and early disease diagnosis. Hence, there is a need for scalable machine learning, deep learning, and intelligent algorithms that lead to more interoperable solutions and that can make effective decisions in emerging sensor technologies. It is predicted that medical services will be provided remotely in an extensive platform, for instance, remote surgery, wearable sensing to predict illnesses, and intelligent medical helps based on artificial intelligence. To reach this aim, high- performance computing and cognitive-inspired intelligence for distributed healthcare systems can give some vital insights.
Cognitive-inspired Computational Computing (C3) systems focus on the knowledge sharing and scaling ability between patients, doctors, clinics, etc. Therefore, doctors can effectively plan for effective treatment based on medical evidence and patient profile. Intelligent health informatics (IHI) is prominently deciding on the common language to explore different treatment options, data analyzes, and critical patient data retrieval. Therefore, they can enhance the work of professionals to help improve the quality and consistency of decision-making across an organization. The objective of cognitive systems in healthcare is to increases, accelerate, and scale expertise to make powerful everyone in their roles. The optimization algorithms can be applied because of acquiring the sensor data from multiple sources for fast and accurate health monitoring. These applications geared towards the Internet of medical things, cloud analysis, machine learning, robotics, computer vision, and deep learning have enabled the evaluation of the proposed solutions. On the other hand, pervasive and ubiquitous computing still experiences new developments based on fusion-based and blind strategies for the internet of medical things (IoMT) applications over C3_IHI. Thus, we here are seeking the most impactful and newest findings on how to apply the C3 model and ubiquitous computing in intelligent healthcare services and IoMT. As follows, a brief list of some desired directions is mentioned.
With Chinmay Chakraborty as Lead Guest Editor and Gabriella Casalino and Guangjie Han as Guest Editors, submissions must be made through submission system by 30 June 2023. More information on this special issue and submitting an article can be found here.
The Journal of Artificial Intelligence and Technology applies the Creative Commons Attribution (CC-BY) license to published articles. Under this license, authors retain ownership of the copyright for their content, but they allow anyone to download, reuse, reprint, modify, distribute and/or copy the content as long as the original authors and source are cited. Appropriate attribution can be provided by simply citing the original article.
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