Aim and Scope
The International Journal of Advances in Applied Computational Intelligence aims to serve as a leading platform for publishing innovative and impactful research in computational intelligence. The journal primarily focuses on the development and application of advanced computational methods grounded in a broad range of mathematical and theoretical foundations, including artificial intelligence, machine learning, neural networks, fuzzy systems, and evolutionary algorithms.
By bridging the gap between theory and practical applications, the journal seeks to address complex problems in areas such as pattern recognition, signal processing, robotics, and data analysis.
The journal is intended to be an essential resource for researchers and practitioners interested in recent developments and applications of computational intelligence. It supports interdisciplinary collaboration and advances knowledge in computer science and engineering.
The journal covers the following core areas:
• Applied mathematics
• Anonymity and privacy-preserving computation
• Big data, data mining, and data analysis
• Cryptographic protection
• Computational methods and artificial intelligence
• Fuzzy optimization
• Heuristic and metaheuristic algorithms
• Robotics and automation
• Mathematical modelling
• Machine vision, computer vision, and image processing
• Graph theory and domination theory
• Diophantine approximation and computational number theory
• Information theory
• Computational matrix algorithms
• Computational algorithms for security analysis
• Data computation and big-data processing
• Computational methods for variable analysis
• Fuzzy data analysis