Focus and Scope

International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE)  ISSN 2581-3242 is  peer-reviewed, open access journal, registered with Crossref  10.30991/IJMLNCE. Each accepted manuscript shall be assigned a unique document object identifier. The abbreviated key title for our journal allocated by ISSN is  Int. j. mach. learn. networked collab. eng.  The journal appears in popular indexes like  BASE (Bielefeld Academic Search Engine),  CrossRef, CiteFactor, DRJI, Google Scholar, Index Copernicus, J-Gate, Portico, PKP-Index, ROAD, Scilit, Socolar.

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 International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242 is a quarterly published, Open Access, peer-reviewed, international journal focuses on publishing authentic and unpublished quality research papers. This is a scientific journal which aims to promote quality and innovative research works, not limited to but focuses on the area of  machine learning, collaborative engineering and allied areas. We publish original research articles, review articles and technical notes.

Paper Submission

Authors are expected to ensure that their works are original and are required to declare that this work has not been published before in any conference, journal or Book Chapter. The submission should be only in Microsoft Word, Open Office or pdf Document format. Please click on the checkboxes provided in the Submission Requirement field for submitting a manuscript. The author can withdraw their paper dring getting a review-revision  report or during review process.

Paper should be of  comprise of minimum 250-300 words abstract along with 3500 words count minimum or 12-15 pages and submitted in standard  journal template available here. Papers will be reviewed by the editorial board members on the basis of technical quality, originality, significance, clarity and scope of further research.

Papers should be submitted through online only.  Decision about acceptance, revision or rejection of manuscript will be communicated to the corresponding authors’ e-mail only.

Accordingly, the journal welcomes contributions which investigate all aspects of machine learning’s and belongs to information technology and engineering domains from different disciplinary perspectives. Special focus is on new results in the following topics:

  • Statistical Learning
  • Neural Network Learning
  • Learning Through Fuzzy Logic
  • Learning Through Evolution (Evolutionary Algorithms)
  • Reinforcement Learning
  • Multi-Strategy Learning Cooperative Learning
  • Planning And Learning
  • Multi-Agent Learning
  • Online And Incremental Learning
  • Scalability Of Learning Algorithms
  • Inductive Learning
  • Inductive Logic Programming
  • Bayesian Networks
  • Support Vector Machines
  • Case-Based Reasoning
  • Machine Learning For Bioinformatics and Computational Biology
  • Multi-Lingual Knowledge Acquisition And Representation
  • Knowledge Acquisition And Learning
  • Knowledge Discovery In Databases
  • Knowledge Intensive Learning
  • Knowledge Representation and Reasoning
  • Machine Learning and Information Retrieval
  • Machine Learning for Web Navigation And Mining
  • Learning Through Mobile Data Mining
  • Text and Multimedia Mining Through Machine Learning
  • Distributed and Parallel Learning Algorithms and Applications
  • Feature Extraction And Classification
  • Theories and Models for Plausible Reasoning
  • Computational Learning Theory
  • Cognitive Modelling
  • Hybrid Learning Algorithms
  • Applications of Machine Learning In:
  • Medicine, Health, Bioinformatics And Systems Biology
  • Industrial and Engineering Applications
  • Security Applications
  • Smart Cities
  • Game Playing and Problem Solving
  • Intelligent Virtual Environments

Scientists and researchers are invited to submit papers in English that deal with research, development and design studies based on machine learning and artificial intelligence, experimental, theoretical or application-oriented in nature, as well as reviews relevant to the aforementioned topics.   

Peer Review Process

International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242 takes advantage of the efficiency and faster turnaround of the e-journal system, while maintaining the high standards of excellence that characterise traditional scientific journals. An integral part of this publication system is an unbiased, independent and critical peer review process.

Initial review

After a submission has been uploaded, an editor of the journal examines whether a submission falls within the journal's subject area and complies with the formal guidelines of the journal.

First round of review

All original submissions that are suitable for inclusion undergo a rigorous single-blind peer review by two reviewers. External specialists or subject matter experts from the Editorial Board conduct peer review at the request of the assigned editor(s). Reviewers’ identities are concealed from the author.
Once a paper has entered the peer review process, the respective author is informed of the approximate date by which the managing editors will discuss and evaluate their manuscript as well as the date of possible publication. To facilitate timely publication, reviewers are asked to complete their reviews within one month.

Four types of reviewer recommendation are possible:

  1. Accept submission
  2. Likely accept, but minor revisions required
  3. Likely accept, but major revisions required
  4. Decline submission

Second round of review

In case a reviewer requests that an article be revised, the author has the opportunity to amend the article and resubmit it for a second review.
If minor revisions were required, the assigned editor(s) decides whether the amendments the author has made have taken into account all the points raised in the initial review.
If major revisions were needed, the revised version will be reevaluated by at least one of the reviewers. The review process, including possible resubmissions, may take up to three to four months.

Final decision

Based on the reviewers' recommendations the assigned editor(s) finally approve or refuse contributions, and the author is informed of the decision and its reasons.

Ethics

Reviewers for Technologies for Lightweight Structures must confirm:

  • that all manuscripts are reviewed in fairness and honesty based on the intellectual content of the paper regardless of gender, race, ethnicity, religion, citizenry, political affiliation and values nor paradigmatic orientation of author(s);
  • that any observed conflict of interest during the review process must be communicated to the managing editor. Such conflicts of interest can occur if the reviewer is asked to referee a paper written by a colleague of the same organization, former or current student, former advisor, frequent co-author, or closely-related person. If the conflict is severe, the reviewer should recuse himself/herself;
  • that all information pertaining to the manuscript is treated as confidential, not to be disclosed to others prior to publication;
  • that any information that may be the reason for the rejection of publication of a manuscript must be communicated to the managing editor.
  • that deadlines agreed upon are met. Reviewers are kindly asked to complete their reviews within one month. If more time is needed, reviewers should contact the assigned editor(s) promptly.

 

Author fees:  We are Un-Paid category journal, and do not charge any fee for article publication from the author.

Research misconduct case: Publishers and editors are very specific and  serious to  take reasonable steps to identify and prevent the publication of papers where research misconduct has occurred, including plagiarism, citation manipulation, and data falsification/fabrication, among others. We request authors and readers and researchers  to communicate us in case they came to know any such information, so the corrective measures could be taken timely. It’s also plan to constitute at least 05 members team to take final decision about such case.

 Conflicts of interest: Keeping in view of conflicts of interest, the manuscript assigned to the reviewers are blind in nature, also its keep in mind that the manuscript is communicated to at least two different countries reviewers, and also sometime in case they are not interested to review due to certain reasons, then its submitted to some other board members.

 Access: The Journal is Open Access, and manuscripts are freely available through journal archive. Each articles are available to open access to readers and whether there are associated or not associated with us.

Archiving: A journal is working (under processing)  for electronic backup and preservation of access to the journal content (for example, access to main articles via CLOCKSS  in the event a journal is no longer published shall be clearly indicated.

 

 Publication Frequency

International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242 is published quarterly in the month of January,  April, July, October.

 

Open Access Policy

Utilizing the potential of Open Access, the journal employs a system of rapid publication. To this end, each individual accepted article is made available in an “open issue” as soon as it is ready for publication, often weeks or months before the issue is complete. When all articles for that issue are published, the issue is closed and a new open issue is started. This guarantees that the visibility and impact of authors' contribution are accelerated.

Manuscript Copyright: Copyright and licensing information is clearly described on the journal’s Web site as well as it must be  abide by author while uploading the manuscript.

 

International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242 is an open-access  journal. It provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All content is published under a Creative Commons Licence “Attribution 4.0 International (CC BY 4.0)”.

 

 For regular updates, Please like our Facebook Page :         www.facebook.com/ijmlnce

 Call for Paper : for Vol 2, Issue No 04

Important Date                   :     For  Volume  2,  No 4
Call for Paper  last date   :      September 10, 2018
First Round Review           :      October 10, 2018
Second Round Review      :     November    25, 2018
Final Communication       :     December 10, 2018 

 

 

Privacy Statement

International Journal of Machine Learning and Networked Collaborative Engineering have developed this privacy statement for author/visitor/user, to demonstrate its commitment to privacy on the Internet. This privacy policy applies only to our online activities and is valid for visitors to our website (http://www.mlnce.net/index.php/Home) and regarding information shared and/or collected there.

Protecting the privacy of individuals whose personal information is used in our journal and the confidentiality of personal information in our custody is an integral commitment of IJMLNCE. This Privacy Statement applies to the online collection of personal information on the Site. This Privacy Statement does not apply to information collected in any other way such as offline. By entering or using the Site or Web Services, you are accepting all privacy statement outlined below.

Personal Data and Application

We collect information from you in several different ways. Specifically, we collect information directly from you, from our web server logs and or other tools that collect information about your utilization of the Site and/or Web Services. We use this information primarily to provide you an experience with our Site and Web Services that is personalized for you that is relevant and useful to you. We do not share information provided by you that is personally identifiable with others.

Personal data collected by IJMLNCE may be used for editorial and feedback purposes, for marketing and promotional purposes, for a statistical analysis of users’ behavior, for product development, for content improvement. The information collected by the Site and Web Services also may be used for responding to your inquiries and otherwise corresponding with you

Individually identifying information, such as names, postal and email addresses, phone numbers, and other personal information that visitors voluntarily provide to us may be added to our contact databases and used for new manuscript & Call-for-paper journal publication.

IJMLNCE sometimes collects non-identifiable information through the Site, For example, It keeps track of the domains and measures visitor activity from which people visit the Site. This information may use data to analyze trends and statistics in order to provide better service.

IJMLNCE may use demographic and preference information to allow advertising on one or more of the Web Services that can be targeted to the users for whom they are most pertinent. This means users see advertising that is most likely to interest them, and advertisers send their messages to people who are most likely to be receptive, improving both the viewer’s experience and the effectiveness of the ads.

Web Utilized Data

The Site and Web Services also may collect non-personally identifiable information in connection with your use of the Web Services. For example, as you browse our websites we may collect information about your visit. Via Web server logs, for example, we may monitor statistics such as: the number of people that visit our websites or use our mobile applications, which pages are visited on our websites, from which domain our visitors come (e.g; google.com), and which browsers people use to visit our websites (e.g. Safari, Internet Explorer etc.). We also may compile statistics that show the numbers and frequency of visitors to our websites and applications, including individual pages. These aggregated statistics may be used internally to improve the Site and/or Web Services and for product development and marketing purposes generally. The information we collect in Web server logs helps us administer our sites, analyze usage, protect the website and its content from inappropriate use, and improve user experience. In addition, aggregated statistics (which contain no personally identifiable information) may also be provided to advertisers and other third parties.

Disclosure of Personal Data

Views expressed in articles/research papers /manuscripts are personal opinion of the author/ contributors are in no sense official, neither the journal IJMLNCE nor any member of the journal is responsible. In case any Research paper/Article is found previously published anywhere else, the author/ contributor will be entirely responsible. There would be no responsibility of any member of the journal.

Additionally, we may disclose information in special cases when we have reason to believe that disclosing this information is reasonably necessary to: comply with the law, enforce or apply our terms, protect our rights and those of our users or with your consent.

Access to Correction of Personal Data

IJMLNCE strives to maintain the accuracy of the personal information collected through websites. There are additional facilities to correct, amend or delete your personal information or update your preferences. For example, you may cancel your registration or update your preferences at any time. Or, if you do not want to receive information about IJMLNCE Journal, please update your account preferences. The access and correction provisions of this Privacy Statement only apply to personally identifiable information collected from you through the Site or Web Services

Over all IJMLNCE is committed to protecting any personal information that you may provide to us about yourself on this website (http://www.mlnce.net/index.php/Home). For the purposes of this Privacy Policy, “Personal Information” shall mean any information that can be linked to a specific individual including without limitation, information such as name, address, contact number, e-mail address. The information requested is for the sole purpose of database. It will be kept confidential and no commercial use is intended. Any personal information received by IJMLNCE journals will only be used to process and publish your manuscript.

  • Administer this website;
  • Personalize the website for you;
  • Enable your access and use the website;
  • Manuscript submission;
  • Process your manuscript;
  • Publish your manuscript;
  • Communicate with your manuscript;
  • Send to Journal Updates & Call-for-Paper’s

 

IJMLNCE reserves the right to change this Privacy Statement at any time by posting a new or revised statement or without prior notification. This Privacy Statement is effective as of January 2018.

[If you have any questions regarding this policy statements or your personal information, we requested to contact via mail email.]

International Journal of Machine Learning and Networked Collaborative Engineering
http://www.mlnce.net/index.php/Home
E-mail: spesinfo@yahoo.com | garciavicente@uniovi.es