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Call For Paper

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

Internet of Things

Machine Learning

Big Data for IoT

Open Platforms for IoT

Wearable Devices for IoT

Artificial Intelligence for IoT

IoT-based Smart City Solutions

IoT-based Smart Home

IoT-based Smart Education Systems

IoT-based Robots

Security, Privacy and Trust in IoT

IoT Standards and Application Scenarios

IoT-based Enterprise Management

IoT-based Business Process Management

IoT-based Auto Driving

IoT-based Intelligent Manufacturing

Artificial intelligence for IoT

Industrial IoT applications

Data mining platforms for IoT

Agriculture IoT applications

Open service platform

Environment monitoring

Semantic service for IoT

Education for IoT

Business system for IoT

Intelligent transportation

IoT application support

Open topic for future IoT

IoT Testbed and deployment

 

Applications, processes and services

Artificial intelligence, machine learning and analysis

Basic and enabling technology

Communication, connection and network

Computing-from the edge to the cloud

Cybersecurity, security and privacy

Infrastructure, equipment and components

Information processing from multimedia and heterogeneous sources

Results of experiments, demonstrations and trials, and deployment experience

Social and social impact

System engineering, integration method and operation technology

In-depth and intensive learning of theoretical basis, design methods and architecture considerations

Network pattern recognition and classification

Machine learning for network slicing optimization

Machine learning 5G system

Machine learning for user behavior prediction

New and innovative machine learning methods

Optimize machine learning methods

Performance analysis of machine learning algorithms

Experimental evaluation of machine learning

Data mining in heterogeneous networks

Machine learning multimedia

IoT machine learning

Security and protection of machine learning

Distributed and decentralized machine learning algorithms

Data analysis and mining

Pattern recognition

Neural Networks

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