Scopes
(Including but not limited to the following topics)
Track 1: Internet of Things Technology
Internet of Things and Intelligent Sensor Technology
Internet of Things Edge Computing and Fog Computing
Internet of Things Big Data Analysis and Processing
Internet of Things Machine Learning Applications
Low-Power Internet of Things
Internet of Things Security and Privacy Protection
Industrial Internet of Things (IIoT) and Intelligent Manufacturing
Smart Home and Smart Building Technologies
Internet of Things in Smart Agriculture
Wearable Devices and Health Internet of Things
Internet of Things in Intelligent Transportation Systems
Integration of Internet of Things and Digital Twinning
Internet of Things Standardization and Protocol Optimization
Internet of Things Energy and Self-Supply Technology
Blockchain and Internet of Things Data
Internet of Things Application in Environmental Monitoring
Intelligent Logistics and Supply Chain Management
Research on Interoperability of Internet of Things Devices
Cooperative Optimization of 5G/6G and Internet of Things
Future Internet of Things Architecture and Challenges
Track 2: Edge Computing
Intelligent Sensing Algorithms for Edge Computing
Deep Learning Applications in Edge Computing
Adaptive Learning Technologies in Edge Computing
Data Mining in Edge Computing
Enhanced Learning in Edge Computing
Integration Methods of Edge Intelligence Algorithms
Optimization Algorithms for Edge Computing
Feature Extraction in Edge Computing Scenarios
Image Processing Technology in Edge Computing
Natural Language Processing in Edge Computing
Edge Computing and Distributed Learning
Sensor Fusion in Edge Computing
Image Recognition in Edge Computing
Anomaly Detection in Edge Computing
Emotion Analysis in Edge Computing
Multimodal Learning in Edge Computing
Track 3: Data Mining
Big Data Analysis
Knowledge Discovery Pattern Recognition
Graph mining
Time series analysis
Anomaly detection
Causal inference Data visualization
Privacy protection mining
Automated feature engineering
Knowledge graph
Causal discovery
Data stream mining ......
Track 1: Internet of Things Technology
Internet of Things and Intelligent Sensor Technology
Internet of Things Edge Computing and Fog Computing
Internet of Things Big Data Analysis and Processing
Internet of Things Machine Learning Applications
Low-Power Internet of Things
Internet of Things Security and Privacy Protection
Industrial Internet of Things (IIoT) and Intelligent Manufacturing
Smart Home and Smart Building Technologies
Internet of Things in Smart Agriculture
Wearable Devices and Health Internet of Things
Internet of Things in Intelligent Transportation Systems
Integration of Internet of Things and Digital Twinning
Internet of Things Standardization and Protocol Optimization
Internet of Things Energy and Self-Supply Technology
Blockchain and Internet of Things Data
Internet of Things Application in Environmental Monitoring
Intelligent Logistics and Supply Chain Management
Research on Interoperability of Internet of Things Devices
Cooperative Optimization of 5G/6G and Internet of Things
Future Internet of Things Architecture and Challenges
Track 2: Edge Computing
Intelligent Sensing Algorithms for Edge Computing
Deep Learning Applications in Edge Computing
Adaptive Learning Technologies in Edge Computing
Data Mining in Edge Computing
Enhanced Learning in Edge Computing
Integration Methods of Edge Intelligence Algorithms
Optimization Algorithms for Edge Computing
Feature Extraction in Edge Computing Scenarios
Image Processing Technology in Edge Computing
Natural Language Processing in Edge Computing
Edge Computing and Distributed Learning
Sensor Fusion in Edge Computing
Image Recognition in Edge Computing
Anomaly Detection in Edge Computing
Emotion Analysis in Edge Computing
Multimodal Learning in Edge Computing
Track 3: Data Mining
Big Data Analysis
Knowledge Discovery Pattern Recognition
Graph mining
Time series analysis
Anomaly detection
Causal inference Data visualization
Privacy protection mining
Automated feature engineering
Knowledge graph
Causal discovery
Data stream mining ......
Important Dates/重要日期
- Submission Deadline: 2026.7.10
- Registration Deadline: 2026.7.17
- Conference Date: 2026.7.25
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icomputer_info@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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