2021 International Conference on Internet of Things and Machine Learning (IoTML 2021) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
Topics of interest for submission include, but are not limited to:
Internet of Things
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
Machine Learning
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
