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) publishes carefully refereed research, review, and survey papers that offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all mainstream software engineering-related applications.
All articles published by International Journal on IoT and Big Data (IJITBD) are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Authors of articles published in the International Journal on IoT and Big Data (IJITBD) are the copyright holders of their articles and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate the article.
- 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