Call for Papers

Prospective authors are encouraged to contribute their novel and state-of-the-art research works on conceptual, theoretical and experimental works in all the areas of Artificial Intelligence [AI] technologies.

Capsule Networks

Human Perception algorithms
Deep Reinforcement Algorithms
Feed-Forward and recurrent neural networks
High-Dimensional Routing mechanisms
Generative Capsule networks
Generative capsule models in Cognitive processing
Predictive data analytics
Multimodal Data Acquisition techniques
Information fusion and analytics
Process Optimization Techniques
CapsNets in Deep learning
Fast Convergent Capsule Networks

Artifical Intelligence Technologies

Artificial Intelligence in smart modeling and simulation.
Artificial life.
Brain-machine interfaces.
Human-computer-environment interface.
Cognitive systems and applications.
Brain mapping and cognitive science.
Natural Language processing techniques.
Fuzzy logic and soft computing.
Decision support systems.
Artificial Intelligence [AI] and evolutionary algorithms.
Distributed AI algorithms and techniques.
Fuzzy control and intelligent systems.
Fuzzy optimization and design.
Fuzzy-based pattern recognition techniques.
Artificial neural network and applications.
Computer vision and intelligent speech processing.
Supervised and unsupervised learning methods.
Semantic web intelligence.
Uncertainties in Artificial Intelligence.
Neuro fuzzy techniques.
Smart vision recognition.
Hybrid intelligent systems.
Social impacts of Artificial Intelligence [AI] techniques.

Intelligent Agents

Intelligent agent communication systems.
Distributed problem solving techniques.
Innovative agent models and architectures.
Multi-agent based systems.
Smart autonomous agents and systems.
Social and economic agent models.
Collaborative decision making models.
Intelligent agent platforms and interoperability.
Agent modeling and identification.
Intelligent multi-robot systems.
Intelligent agent-oriented software engineering practices.
Smart conversational agents.
Cognitive robotics.
Human-robot interaction technologies.

Machine Learning Models and Applications

Hierarchical learning models.
Ant colony optimization.
Particle swarm optimization.
Reinforcement learning methodologies.
Data mining and machine learning tools.
Stochastic optimization models.
Neural networks and variations.
Innovative learning models.
Knowledge engineering.
Semantic analysis techniques.
Knowledge acquisition and discovery techniques.
Computational neuroscience.
Intelligent linguistic technologies.
Inductive learning methods and applications.
Bayesian networks and methodologies.
Contemporary statistical learning theories.
Soft computing theory and applications.
Probabilistic learning methods.

Fuzzy Intelligence Techniques

Expert Systems.
Evolutionary Algorithms.
Intelligent fuzzy systems.
Collective Intelligence.
Evolutionary data mining.
Fuzzy logic and fuzzy set theory.
Intelligent fuzzy computing techniques.
Fuzzy-based intelligent systems and control.
Intelligent fuzzy optimization and design.
Fuzzy systems for intelligent robotics.
Intelligent database systems.
Fuzzy pattern recognition techniques.
Intelligent game theory and applications.
Rough sets and rough data analysis.
Smart fuzzy logic and learning methodologies.
Intelligent fuzzy knowledge structures.
Intelligent web content mining.
Fuzzy-based software agents.