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Probyto AI Journal


Get updated with latest Journal in various domains of Data Science. Explore Probyto's AI Journal. Read Journals and Publish your Journal with Probyto’s AI Journal. Start today

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AI Peer Review

Get your academic work peer reviewed by AI experts.

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Global Reach

Publish your work with Probyto AI Journal that will be showed around the world.

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Latest Research Articles

Probyto releases quarterly online AI journals, check our latest articles below

Features of AI Journal

Aim & Scope

Probyto's AI Journal is a peer-reviewed, open access, electronic journal, publishing papers on the use and reuse of research data and databases across all data science and analytics research domains, including Machine Learning and Artificial Intelligence. The scope of the journal is to faithfully represent data as an important topic in the research, discussion, or analysis — how data is part of a problem, solution or both. Machine learning, Cybersecurity, Blockchain, IoT Intelligence, and analytics-based optimization are within scope of Probyto's AI Journal.

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Publication Details

Probyto's AI Journal publishes a variety of article types, such as research papers, scientific reports, review papers, and graduation dissertation thesis. The journal is published online as a continuous volume and issue throughout the year. Articles are made available as soon as they are ready to ensure that there are no unnecessary delays in getting content publically available.

Core Topics

This journal focuses on prominent research in data analytics around the following innovations and industries: Augmented Reality, Virtual Reality, Computer Vision, Blockchain, Natural Language Processing, Chatbots, IoT, Market Research, Energy Utilization, FMCG, Digital Media, Retail, Logistics, Manufacturing, Healthcare, etc.

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Our Researchers From

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You have questions about AI Journal’s Pricing?

Here are some of the things Probyto’s AI Journal brings on: Latest Journals published are well written and review by a team of experts. Broader audience reach for publishing a journal Quality journals from various domains.

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Anyone who has an interest in Data Science domain and had done some work in this field and written a paper upon that.

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