【IEEE-IEEE Xplore, EI，Scopus】2025 2nd International Conference on Machine Learning, Pattern Recognition and Automation Engineering (MLPRAE 2025)

INFORMATION

Conference official website: www.mlprae.com   

Conference date: September 26 -28, 2025

Submission deadline: September 21, 2025

Conference location: Wuhan, China (online + offline)

Indexing types: IEEE Xplore, EI Compendex, Scopus

Acceptance notification: 3-5 working days

Organizer:：Shandong Normal University

About MLPRAE 2025

2025 2nd International Conference on Machine Learning, Pattern Recognition and Automation Engineering(MLPRAE 2025) will be held on September 26-28, 2025 in Jinan, China.

MLPRAE 2025 is to bring together innovative academics and industrial experts in the field of Machine Learning, Pattern Recognition and Automation Engineering to a common forum.

The primary goal of the conference is to promote research and developmental activities in Machine Learning, Pattern Recognition and Automation Engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. We sincerely invite you to participate in MLPRAE 2025 and look forward to seeing you in Jinan!

CALL FOR PAPER

The topics of interest for submission include, but are not limited to:

·Machine Learning

Soft computing

Genetic algorithm

Evolutionary computation

Quantum evolutionary computation

Ant colony optimization algorithm

DNF calculation

Immune computing

Group computing

Chaos computing

DNA computing

Algorithm design and analysis

Intelligent system

Neural network

Data analysis and mining

Transfer learning

Recommendation system

Deep learning

·Pattern Recognition

Membrane controller

Principle of pattern recognition

Model representation and selection

Signal recognition

Natural language processing and recognition

Biomedical science

Computer vision

Object detection, tracking and recognition

Biometric identification

Speech recognition

·Automation engineering

Robot control

Automatic control system

Intelligent transportation technology and system

Automation and monitoring systems

Fuzzy system and fuzzy control

Neural networks and control

Multi-objective optimization

Robot path planning

Power supply fault diagnosis

Systems and synthetic biology

Bionic optimization