The International Journal on IoT and Big Data (IJITBD) bearing ISSN 1234-1234 (online) is an annual International Journal double peer-reviewed and published in the month of November by ASDF Journals, London, the UK since 2012.
The International Journal on IoT and Big Data (IJITBD) is an online, open access, peer-reviewed, periodical international journal. The aims of the journal are to publish original, theoretical and practical advances in Software Engineering that cover Big Data, Artificial Intelligence, IoT, Cloud Computing, Edge Computing, Machine Learning, Deep Learning, Hadoop and A train Distributed System, Intelligent Network, Applications in Smart technologies and Sustainable Technologies, and in all the relevant areas including Statistics, Linear Algebra, Graph Theory, Soft-computing, etc. All submitted articles will be reviewed by the board of new editors of the International Journal on IoT and Big Data (IJITBD).
Article Submission System Author(s) can submit articles around the year electronically by using Article Submission System. The submitted article should be original, scientific, cutting edge, high quality, result-oriented and within the scope of the journal that will publish in the upcoming volume/issue if accepted. Author (s) will get a notification along with a review report if the article accepts by the reviewers.
The primary goal of the new editors is to maintain a high quality of publications. There will be a commitment to expediting the time taken for the publication of the article(s). The articles that are sent for review will have the names of the authors deleted with a view towards enhancing the objectivity and fairness of the review process.
Articles that are devoted to the pure software aspects without a discussion of the physical implications of the results or the consideration of specific examples are discouraged. Articles concerning IoT and Big Data should not be limited merely to a description and recording of observations but should contain theoretical and quantitative discussion of the results.
Article (s) for the regular issue can be submitted, round the year, electronically by using Article Submission System. After the final acceptance of the article, based upon the detailed review process and submission of required documents, the article will publish online immediately. However, The assignment of the article of specific Volume / Issue (see archive) will be taken up by the new editors later; and the author will be intimated accordingly. For Theme Based Special Issues, a time-bound special call for articles will be announced, and the same will be applicable for that specific issue only.