3rd International Conference on Machine Learning, Pattern Recognition and Automation Engineering (MLPRAE 2026)

The 3rd International Conference on Machine Learning, Pattern Recognition and Automation Engineering (MLPRAE 2026) brings together innovations in machine learning, pattern recognition, and automation engineering to address complex computational and control challenges across various domains.

Key Topics

• Neural networks and control
• Transfer learning
• Object detection, tracking and recognition
• Recommendation system
• Chaos computing
• Membrane controller
• Automation and monitoring systems
• Power supply fault diagnosis
• Group computing
• Speech recognition
• Robot control
• Fuzzy system and fuzzy control
• Computer vision
• Multi-objective optimization
• Biometric identification
• Algorithm design and analysis
• Immune computing
• DNF calculation
• Ant colony optimization algorithm
• Model representation and selection
• Deep learning
• Intelligent transportation technology and system
• Data analysis and mining
• Natural language processing and recognition
• Bionic optimization
• Quantum evolutionary computation
• Robot path planning
• Evolutionary computation
• Systems and synthetic biology
• Signal recognition
• Pattern recognition principles
• Soft computing
• Genetic algorithm
• Intelligent system
• Automatic control system
• Neural network
• Biomedical science
• DNA computing

Who should Attend

• Researchers in machine learning and automation
• Engineers working in robotics and control systems
• Developers of intelligent computing applications
• Graduate students and academic faculty
• Professionals in pattern recognition and AI
• Industry experts in automation technologies