Welcome to
MLPRAE 2027
2027 3rd International Conference on
Machine Learning, Pattern Recognition and Automation Engineering
Venue
Singapore
Conference Dates
June 4–6, 2027
Submission Deadline
May 21, 2027
Registration Deadline
May 28, 2027
About MLPRAE 2027
The 2027 3rd International Conference on Machine Learning, Pattern Recognition and Automation Engineering (MLPRAE 2027) will be held on June 4–6, 2027, in Singapore. The conference aims to provide an international academic platform for researchers, scholars, engineers, and industry professionals to exchange the latest research achievements, technological innovations, and practical applications in machine learning, pattern recognition, and automation engineering.
With the rapid advancement of artificial intelligence, intelligent algorithms, computer vision, and automated systems, machine learning and pattern recognition technologies have become essential foundations for intelligent applications across various industries. MLPRAE 2027 focuses on exploring innovative theories, methodologies, models, and engineering practices that promote the development of intelligent systems and automation technologies.
The conference welcomes original research contributions covering machine learning algorithms, intelligent perception, pattern analysis, automation systems, robotics, and emerging AI applications. It provides opportunities for participants to discuss future trends, share research ideas, and establish academic collaborations in the fields of intelligent computing and automation engineering.
Submission & Publication
All accepted full papers will be published in MLPRAE 2027 conference proceedings and will be submitted to Ei Compendex and Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Registration System 📤︎Submission System
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎Machine Learning and Intelligent Algorithms
Machine Learning Algorithms and Models
Deep Learning and Neural Networks
Reinforcement Learning and Decision Intelligence
Generative AI and Large Language Models
Transfer Learning and Few-Shot Learning
Federated Learning and Privacy-Preserving AI
Explainable and Trustworthy Machine Learning
Optimization Methods for Intelligent Systems
📚︎Pattern Recognition and Intelligent Perception
Pattern Recognition Theory and Methods
Computer Vision and Image Processing
Object Detection and Image Understanding
Speech Recognition and Audio Intelligence
Natural Language Processing
Feature Extraction and Representation Learning
Multimodal Learning and Data Fusion
Medical Image Analysis and Intelligent Diagnosis
📚︎Automation Engineering and Intelligent Systems
Automation Technologies and Applications
Intelligent Control Systems
Robotics and Autonomous Systems
Industrial Automation and Smart Manufacturing
Human-Robot Interaction
Intelligent Sensors and Actuators
Industrial Internet and Cyber-Physical Systems
Digital Twins and Intelligent Simulation
📚︎Emerging AI Technologies and Intelligent Applications
AI Applications in Healthcare and Biomedical Engineering
AI for Transportation and Smart Cities
Intelligent Information Processing
Edge AI and Embedded Intelligence
Internet of Things and Intelligent Devices
AI Security and Robust Intelligent Systems
Knowledge Graphs and Intelligent Reasoning
Future Trends in Artificial Intelligence and Automation
If you have any questions or inquiries,
Please feel free to contact us.