Journals

Artificial intelligence & Big Data

Home / Journal / Artificial intelligence & Big Data

ISSN

Impact Factor

Language

English

DOI

Origin

Acceptance Rate

35-49%

Language

English

Acceptance Rate

35-49%

Latest Feeds
Editor-In-Chief
Name
Dr. John MacIntyre
Affiliation
Faculty of Applied Sciences, University of Sunderland St Peters Campus, Sunderland, United Kingdom
Confirmation Letter
About Journal

Journal of Artificial Intelligence and Big Data is a peer-reviewed covering field of artificial intelligence involves making machines that simulate human abilities such as learning, perception, thinking, decision-making, behavior, and interaction through science and technology. The goal of this journal is to keep a record of the state-of-the-art research and to promote study, research, and improvement within its various specialties.

Journal publishes original research into the latest discoveries in the field of original research articles, manuscript, reviews, methodologies, commentaries, case reports, perspectives, book reviews, announcements, letters to editors, short communications and much more covering all aspects of discipline to this journal.

It covers a variety of topics in this field, including machine and deep learning, knowledge reasoning and discovery, automated planning and scheduling, natural language processing and recognition, computer vision, robotics, big data, and artificial general intelligence, big data volume, big data velocity, big data veracity, big data variability, cloud computing, predictive analytics, descriptive analytics,  etc.

Indexing & Services