Submissions

This journal is not accepting submissions at this time.

Submission Preparation Checklist

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 file is in OpenOffice, Microsoft Word, or RTF document file format.
  • Where available, URLs for the references have been provided.
  • The text is single-spaced; uses a 12-point font; employs italics, rather than underlining (except with URL addresses); and all illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end.
  • The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.

Author Guidelines

Submission Process

Manuscripts for the Journal of Decision Analytics and Intelligent Computing should be submitted online at http://www.jdaic-journal.org. The submitting author, who is generally the corresponding author, is responsible for the manuscript during the submission and peer-review process. The submitting author must ensure that all eligible co-authors have been included in the author list and that they all have read and approved the submitted version of the manuscript.

Authors who are interested in submitting their papers to the JDAIC journal must send the request to the Editorial Office and attach a manuscript to the email. The request should be sent to email editor@jdaic-journal.org. After receiving the response from the Editorial Office authors can submit a paper to the system.

Accepted File Formats

Authors must use the Microsoft Word template to prepare their manuscripts. Using the template file will substantially shorten the time to complete copy-editing and publication of accepted manuscripts. Accepted file formats are:

  • Microsoft Word: Manuscripts prepared in Microsoft Word must be converted into a single file before submission. When preparing manuscripts in Microsoft Word, the JDAIC template file must be used. Please insert your graphics (schemes, figures, etc.) in the main text after the paragraph of its first citation.
  • Supplementary files: May be of any format, but it is recommended that you use common, non-proprietary formats where possible.

 All necessary files have been uploaded:
- Manuscript:

  • Include keywords;
  • All figures (include relevant captions);
  • All tables (including titles, description, footnotes);
  • Ensure all figure and table citations in the text match the files provided;
  • Indicate clearly if color should be used for any figures in print;

- Supplemental files (where applicable).

Reproducing Published Material from other Publishers

It is absolutely essential that authors obtain permission to reproduce any published material (figures, schemes, tables or any extract of a text) which does not fall into the public domain, or for which they do not hold the copyright. Permission should be requested by the authors from the copyright holder (usually the Publisher, please refer to the imprint of the individual publications to identify the copyright holder).

Permission is required for:

    • Your own works published by other Publishers and for which you did not retain copyright.
    • Substantial extracts from anyone's works or a series of works.
    • Use of Tables, Graphs, Charts, Schemes, and Artworks if they are unaltered or slightly modified.
    • Photographs for which you do not hold the copyright.

 Permission is not required for:

    • Reconstruction of your own table with data already published elsewhere. Please notice that in this case, you must cite the source of the data in the form of either "Data from..." or "Adapted from...".
    • Reasonably short quotes are considered fair use and therefore do not require permission.
    • Graphs, Charts, Schemes, and Artworks that are completely redrawn by the authors and significantly changed beyond recognition do not require permission.

Obtaining Permission

In order to avoid unnecessary delays in the publication process, you should start obtaining permissions as early as possible. If in any doubt about the copyright, apply for permission. JDAIC cannot publish material from other publications without permission.

The copyright holder may give you instructions on the form of acknowledgment to be followed; otherwise follow the style: "Reproduced with permission from [author], [book/journal title]; published by [publisher], [year].' at the end of the caption of the Table, Figure or Scheme.

Editors and Journal Staff as Authors

Editorial independence is extremely important and JDAIC does not interfere with editorial decisions.

Editorial staff or editors shall not be involved in processing their own academic work. Submissions authored by editorial staff/editors will be assigned to at least two independent outside reviewers. Decisions will be made by other editorial board members who do not have conflicts of interest with the author. Journal staff are not involved in the processing of their own work submitted to JDAIC.

Reviewer Suggestions

During the submission process, please suggest three potential reviewers with the appropriate expertise to review the manuscript. The editors will not necessarily approach these referees. Please provide detailed contact information (address, homepage, phone, e-mail address). The proposed referees should neither be current collaborators of the co-authors nor have published with any of the co-authors of the manuscript within the last five years. Proposed reviewers should be from different institutions to the authors. You may identify appropriate Editorial Board members of the journal as potential reviewers. You may suggest reviewers from among the authors that you frequently cite in your paper.

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Articles

Section default policy

Integration of Artificial Intelligence with Network Biology

Recent advancements in experimental technologies have expanded the availability and quantity of data in biology. There has been a steady growth in demand for technology that is intelligent and can react and perform in the situation more accurately. Advances in digital technology are redefining the way we deliver technology to people and make them comfortable with the use of tech functions. Given the importance of interactions in biological processes, such as the interactions between proteins or the bonds within a chemical compound, this data is often represented in the form of a biological network. The rise of this data has created a need for new computational tools to analyze networks. One major trend in the field is to use Ai algorithm which more specifically uses methods that work with networks. 

Biological databases that once comprised sequences and structures of compounds have now advanced into the storage of more complex and bulk data. Most Microarray Profiling studies are based upon a limited subset of the complete expression dataset. We realize that full potential can only be reached upon integration and unification of all available data. And Ai is playing a vital role in the integration and unification of datasets. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. For decades, we have tried building computational models for teaching machines.

However, one major setback here is the amount of variation in data collected from different sources. As we know, we shall be able to achieve optimized results only when we would be able to integrate data from a variety of different sources and then devise an automated learning algorithm to analyze and infer prediction based on previous learning experiences.

Keywords: Artificial Intelligence, Machine Learning; Signal Processing; E-Health, Deep
Learning, Convolutional Neural Network, Biological networks, Bioengineering

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.