2024 4th International Conference on Internet of Things and Machine Learning (IoTML 2024)

IoTMl 2023


 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.  


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




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 




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.