The International Journal of Big Data, AI & IoT (IJBDAI) publishes high-quality research papers on theoretical innovation, methodologies and related case studies on wide range of topics in Big Data, Artificial Intelligence, IoT, Cloud Computing, Edge Computing, Machine Learning, Deep Learning, Hadoop and Atrain 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.
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Editor-in-Chief: Ranjit Biswas, Jamia Hamdard University, New Delhi, India
Papers submitted to International Journal of Big Data, AI & IoT are screened for plagiarism using software based tools for plagiarism detection.
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