◕I. Sub-Forum: Industrial Intelligent Computing Technologies and Applications

Pooling and Cooperative Scheduling Technologies for Industrial Heterogeneous Computing Resources

Cloud-Edge-Device Collaboration Technologies for Industrial Artificial Intelligence Computing

Edge Intelligence and Lightweight Computing Technologies for Industrial Applications

Energy-Efficient Scheduling and Green Computing Technologies for Industrial AI Computing

Low-Latency Networking Technologies for Industrial Edge Devices

QoS Evaluation Methods for Industrial Artificial Intelligence Computing

◕ II. Sub-Forum: Industrial Data Engineering Technologies and Applications

Big Data Acquisition and Cleansing

Data Annotation Tools and Techniques

Data Lifecycle Management

Metadata Management and Standardization

Data Privacy and Compliance Management

Data Conflict and Redundancy Resolution

Data Integration and Interoperability

Automated Data Processing Technologies

Management and Storage of Complex Datasets

◕ III. Sub-Forum: Research and Application of High-Quality Industrial Datasets

Dataset Generation and Augmentation Techniques

Dataset Evaluation and Inspection

Dataset Security and Privacy Protection Techniques

Dataset Quality Control

Intelligent Dataset Construction Techniques

◕ V. Sub-Forum: Industrial Intelligent Security Technologies and Applications

Control Systems and Cybersecurity

Blockchain-based Production Traceability Systems

Data Security and Privacy Protection Techniques

Security Enhancement Measures for Control Systems

IoT Device Security Management

AI for Industrial Safety Monitoring

Security-Enhanced Sensor Network Technologies

Security Protocol Design for Industrial Applications

Real-Time Threat Detection and Response Technologies

Predictive Analytics for Security Incidents

◕ IV. Sub-Forum: Industrial Data Intelligence Technologies and Applications

Intelligent Control Algorithms

Machine Learning for Industrial Process Optimization

AI Algorithms for Production Scheduling Optimization

Model Predictive Control and Machine Learning

Embedded Systems Development for Automated Facilities

Deep Learning Algorithms and Industrial Image Analysis

Nonlinear Control and Neural Network Approaches

AI Model Optimization

Intelligent Predictive Anomaly Detection

Adaptive Control System Design