About the Journal
The Brazilian Journal of Computational Intelligence (BJCI) is a peer-reviewed, open-access journal dedicated to advancing research and innovation in computational intelligence. BJCI publishes high-quality original research, review articles, and case studies in areas such as artificial intelligence, machine learning, deep learning, evolutionary computing, fuzzy systems, neural networks, and hybrid intelligent systems.
The journal aims to bridge the gap between theory and practical applications, providing a platform for researchers, academicians, and industry professionals to contribute cutting-edge developments in computational intelligence. BJCI welcomes interdisciplinary research that explores the impact of intelligent computing on diverse fields, including healthcare, finance, robotics, cybersecurity, and environmental sciences.
BJCI is committed to fostering a global research community, with a special focus on contributions from emerging economies and developing technological ecosystems. The journal follows a rigorous peer-review process and adheres to the highest ethical publishing standards.
Topics of Interest Include but Are Not Limited To:
- Artificial Intelligence & Machine Learning
- Neural Networks & Deep Learning
- Evolutionary Computation & Genetic Algorithms
- Fuzzy Logic & Expert Systems
- Swarm Intelligence & Bio-Inspired Computing
- Big Data & Intelligent Analytics
- Robotics & Automation
- Smart Systems & IoT Applications
BJCI is published quarterly and encourages submissions from both academia and industry to promote knowledge sharing and technological advancements in computational intelligence.
