IoTMl 2023
第三届物联网与机器学习国际学术会议圆满落幕！
The Successful Conclusion of
2023 3rd International Conference on Internet of Things and Machine Learning（IoTML 2023）
The chairs of the organizing committees were Dr. Chau Yuen, IEEE fellow, Nanyang Technological University, Singaporet; Dr. Ming XIE, Nanyang Technological University, Singapore; and Dr. Badrul Hisham bin Ahmad, University Teknikal Malaysia Melaka/Faculty of Electronics and Computer Engineering, Malaysia
The conference focused on the Internet of Things and machine learning and discussed the key challenges and research directions of the development of this field, providing a favorable platform for innovative scholars, engineers and industry experts focused on this research field to exchange new ideas and present research results.
嘉宾报告
Speeches of Keynote Speakers
|
Prof. Nikolaos M. Freris University of Science and Technology of China (USTC), China Title：Adaptive Compression of Deep Neural Networks |
|
Dr. Cheng Chin Newcastle University in Singapore, Singapore Title: INTELLIGENT WATER DISTRIBUTED NETWORK |
口头报告
Oral Presentations
During the conference, participants have carried out constructive dialogues and discussions around the presented reports, and achieved positive results in many aspects.
 |  |
Fei Ren, Mapúa University, Philippines Title: Steel Surface Defect Detection Algorithm Using Deep Learning | Yingru Liu, Northeast Electric Power University, China Title: Network Partition and Voltage Coordination Control of Distributed PV Power Distribution Network with High Permeability |
 |  |
Zi-Wei Chen, Jingdezhen Ceramic University, China Title: ACDO: An Ant Colony Dynamic Optimization Framework for Tourism Route Planning | Qihan Liu, Tianjin Normal University, China Title: Feature selection based on improved transformed length particle swarmoptimization algorithm |
 | |
Zixuan Li, Tianjin Normal University, China Title: Improved particle swarm optimization for feature selection combining simplex method and niche |
大会闭幕
Closing
The conference will focus on the new challenges and new directions faced by the Internet of Things and machine learning, and strive to reflect the latest progress of related technology research in this field. The smooth convening of this conference has promoted the exchange and cooperation between domestic and foreign experts and scholars on the one hand, and deepened the understanding of related technologies of the Internet of Things and machine learning on the other hand. Experts and scholars conduct in-depth exchanges and discussions on specific issues, bringing positive impacts to academic research, technological innovation and industrial development in the field of Internet of Things and machine learning.
