AIMS
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 aim of the journal is to:
- Disseminate original, scientific, theoretical or applied research in the field of IoT and Big Data..
- Dispense a platform for publishing results and research with a strong empirical component.
- Aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
- Seek original and unpublished research article(s) based on theoretical and experimental works for publication globally.
- Publish original, theoretical and practical advances in IoT and Big Data.
- Impart a platform for publishing results and research with a strong empirical component, to create a bridge for the significant gap between research and practice by promoting the publication of the original, novel, industry-relevant research.
- Solicit original and unpublished research article(s), based on theoretical and experimental works.
SCOPE
The International Journal on IoT and Big Data (IJITBD) is not limited to a specific aspect of IoT and Big Data but is instead devoted to a wide range of subfields in that. While it encourages a broad spectrum of contribution in the IoT and Big Data., its core interest lies in issues concerning IoT and Big Data. Articles of interdisciplinary nature are particularly welcome.
The primary goal of the new editors is to maintain the 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 purely mathematical 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.
The Editors reserve the right to reject an article(s) without sending them out for review. Articles for the Regular Issue of the journal can submit, round the year, electronically by using Article Submission System. The summited article (s) should cover the following subfields of IoT and Big Data:
- 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
- Statistics
- Linear Algebra
- Graph Theory
- Soft computing
- IoT-based big data process and application for green cities
- IoT-based services for smart and green cities
- Social computing big data and networks for green cities
- Green city big data governance and management
- City Analytics methods and applications
- Green informatics: acquisition, aggregation, and analysis of big data
- Green computing for sustainable planning and city configuration evaluation
- Green environment/pollution/energy consumption monitoring and data analysis