ISSN
2231-DSDS (Print)
22313-FSWS (Online)
Acceptance to publication
28 days
Indexed
Yes
License
Creative Commons 2.0 Generic
BRJCIT
The journal publishes benchmarked research papers. Focusing on advancing on AI and ML, this is a double-blind, peer-reviewed scientific journal.
Publish Your Research
The call for paper is open. Start your publication process in a peer-reviewed, internationally acclaimed research journal.
Guide To Publish Research
Computers & Information Technology
About
The journal of computer science is a well-known journal that primarily focuses on computer science and technology. The journal contains the original and progressive research papers in this discipline in order to provide knowledge. We aim to become a reference research publication. We publish and review original and authentic research papers as well auxiliary materials such as case studies, technical reports, etc. by scholars and researchers all across the world. We welcome submission of papers concerning any branch of computer science and their application in business, industry and other organizations.
BRJCIT: Artificial Intelligence & Machine Learning
Objective
The objective of our journal is to produce peer-reviewed, authenticated research papers on various theoretical as well as applied disciplines of artificial intelligence prepared by scholars and researchers all across the world. Our journal does not just concern the field of artificial intelligence but also includes all the scopes that are mildly or completely related to these fields providing our authors a single platform for all their works.
- Neural networks
- Artificial intelligence
- Robotics
- Machine structure and working
- Mechanical engineering
- Aerospace & Aerodynamics
- Elements of AI
- Machine learning for musicians and artists
- Transport systems: Global Issues and Future Innovations
- Introduction to Artificial intelligence
- Machine Learning Foundations: A case study Approach
- A complete Reinforcement Learning system(Capstone)
- Introduction to Machine Learning Course
- Neural Networks and Deep Learning
- Join the world’s largest programming course-Python for Everybody
- Machine Learning with big data
- Machine Learning for Trading
- AWS Machine Learning
- Machine Learning for data science and Analytics
- MedTech: AI and Medical Robots
- Reinforcement Learning
- Artificial intelligence for Business
- Bayesian Methods for Machine Learning
- Introduction to Deep Learning
- Deep Learning in computer vision
- AI workflow: Machine Learning, Visual Recognition, and NLP
- Evaluations of AI Applications in Healthcare
- Artificial Intelligence: Distinguishing Between Fact and Fiction
- Artificial Intelligence (AI) Education for Teachers
- Data Science
- Education & Teaching
- Art and Design
- Statics and Probability
- Nonlinear Dynamics: Mathematical and Computational Approaches
TensorFlow for Artificial Intelligence by deep learning
