Journal of Artificial Intelligence in Engineering Practice (E-ISSN 3009-7002) abbreviated as J. Artif. Intell. Eng. Pract. (JAIEP) is a peer-reviewed journal dealing with computer science, complete Engineering, and discussions on all areas of engineering. We aim to encourage scientists to publish their experimental and theoretical research relating to offer means of updating and upgrading the scientific knowledge and information of the national as well as international audiences through the publication of original and high-quality research articles in the following fields:

Artificial Intelligence solutions:

• • Machine Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Optimization Algorithms
  • Swarm Intelligence
  • Time Series and Forecasting
  • Computer Vision
  • Big data solutions
  • Intelligent control and optimization
  • Unsupervised and supervised learning systems
  • Artificial Intelligence in Medicine
  • Artificial Intelligence in Agriculture

Engineering Application:

• • Process systems optimization, real-time and dynamic system
  • Expert Systems
  • Bioengineering
  • Engineering solutions
  • All energy applications including solar, wind, water and nuclear
  • Electric Vehicle
  • Robotics
  • Sustainable
  • Renewable Energy
  • Signal Processing
  • Advanced process control
  • Computer-based Algorithms

With their applications in these areas:

Engineering, Medical fields, Manufacturing, Renewable Energy, Educational Technology, Food Safety and Nutrition, E-Learning, Management, Human Resources, Humanities, Social Sciences, Educational Psychology, Manufacturing, Transportation, sustainable development, Economy, Finance and Agriculture.

For an article to be considered for publication, it must not have previously been published or be under consideration for publication by another journal. Additionally, the document should not have been submitted to any other journals.