Journal of Artificial Intelligence and Big Data
Aims and Scope

Journal of Artificial Intelligence and Big Data is an international and interdisciplinary scholarly open access journal on artificial intelligence. It publishes original research articles, reviews, communications, that offer substantial new insight into any field of study that involves artificial intelligence (AI) and big data,  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.

The subject areas include, but are not limited to the following fields:

  • AI Application
  • AI Technique
  • AI Theory
  • Artificial neural networks
  • Big Data Applications in Science, Internet, Finance, Telecommunictions, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacture, etc
  • Big Data Infrastructure and Systems
  • Big Data Integrity and Privacy
  • Big Data Models, Algorithms, and Architectures
  • Big Data Processing and Analytics
  • Cloud Computing Techniques
  • Cloud Services and Applications
  • Computer vision
  • Data Search and Mining
  • Data Storage and Management
  • Deep learning
  • Evolutionary computing
  • Expert systems
  • Fuzzy logic
  • Genetic algorithms
  • Intelligent machine/agent
  • IoT Applications
  • IoT Sensing and Mobile Systems
  • IoT Technologies and IoT Architecture
  • Knowledge reasoning
  • Knowledge representation
  • Machine learning
  • Natural language processing
  • Planning
  • Probabilistic computing
  • Robotics
ISSN: 2771-2389
DOI prefix: 10.31586/jaibd
Journal metrics
Publication year
2016-2026
Journal (home page) visits
16020
Published articles
69
Article views
51765
Article downloads
8952
Downloads/article
129
APC
99.00