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 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 |
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
Note:
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.