2021 International Conference on Internet of Things and Machine Learning(IoTML 2021)

Call for paper

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 ThingsMachine 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

Manuscripts reviewed by experts from the conference organizing committee will be accepted and published on  SPIE Conference Proceedings. The published papers will then be submitted for EI, SCOPOUS. Authors are assured of quick and accurate indexing.

Submission Methods

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to SUBMISSION SYSTEM

3.Please submit the full paper, if presentation and publication are both needed.

4.Please submit the abstract only, if you just want to make presentations.

5.Templates Downlow:Templates

6.Should you have any questions, or you need any materials in English, please contact us at ic_iotml@163.com


1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.