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International Journal of Computational Intelligence Systems - Call for Papers: Computational Intelligence for Artificial Intelligence and Data Analytics

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Title: Computational Intelligence for Artificial Intelligence and Data Analytics
Guest Editors: Rafael Alejandro Espin Andrade, Álvaro Labella Romero, Julia Patricia Sánchez Solis

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Computational Intelligence (CI) is a field of study within Artificial Intelligence (AI) and Data Analytics that focuses on developing algorithms and techniques inspired by natural intelligence and adaptive systems to solve complex problems. CI approaches often draw inspiration from biology, physics, and other natural phenomena to create intelligent computational models.

In the context of AI and Data Analytics, CI plays a vital role in optimizing algorithms, enhancing machine learning models, handling uncertainty and imprecision in data, and making intelligent decisions. It encompasses a range of techniques, including evolutionary algorithms, fuzzy logic, neural networks, and swarm intelligence, which can be applied to various domains such as image recognition, natural language processing, optimization, predictive modeling, and more. CI techniques are especially valuable when dealing with large datasets, complex decision-making, and scenarios where traditional rule-based or deterministic approaches may be inadequate. Overall, Computational Intelligence empowers AI and Data Analytics to tackle challenging real-world problems by harnessing the power of intelligent, nature-inspired algorithms.

The scope of Computational Intelligence for AI and Data Analytics is dynamic and ever-expanding as researchers and practitioners explore new techniques and apply them to solve emerging challenges in a wide range of applications. The interdisciplinary nature of CI allows it to address complex problems and drive innovation in these fields.

Topics of interest:

  • Augmented Hybrid Intelligence
  • Evolutionary Algorithms
  • Fuzzy Logic and Systems
  • Neural Network Optimization
  • Swarm Intelligence
  • Multi-objective Optimization
  • Big Data Analytics
  • Reinforcement Learning with CI
  • Natural Language Processing
  • Explainable Recommender Systems
  • Healthcare AI
  • Deep Learning Optimization

Important dates
Submission of papers: Oct 31, 2024
Notification of review results: Jan 31, 2025
Submission of revised papers: Feb 28, 2025
Notification of final review results: Apr 30, 2025

Guest Editors
Prof. Dr. Rafael Alejandro Espin Andrade, Autonomous University of Coahuila, Mexico; Atlantis University, USA
Dr. Álvaro Labella Romero, University of Jaén, Spain
Prof. Dr. Julia Patricia Sánchez Solis, Autonomous University of Ciudad Juárez, Mexico

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