Conference Information

MLES 2026: International Conference on Machine Learning and Embedded Systems

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Submission Date:
2026-04-01
Notification Date:
Conference Date:
2026-04-24
Location:
Suzhou, China
Years:
1
Viewed: 1789   Tracked: 1   Attend: 0

Call For Papers

MLES 2026 (International Conference on Machine Learning and Embedded Systems) is an academic conference held in Suzhou, China on 2026-04-24. The paper submission deadline is 2026-04-01.

2026 International Conference on Machine Learning and Embedded Systems (MLES 2026) will be held on April 24-26, 2026 in Suzhou, China. This conference is sponsored by Zhengzhou University. The goal of MLES is to promote the research and developmental activities in Machine Learning and Embedded Systems and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held to make it an ideal platform for people to share views and experiences in Machine Learning and Embedded Systems and related areas. This conference focuses on Machine Learning and Embedded Systems, aiming to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements. Publication All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers will be published in the SPIE - The International Society for Optical Engineering (ISSN: 0277-786X) and will be submitted to EI Compendex / Scopus for indexing. Topics of interest for submission include, but are not limited to: * Communication Technology Communication Big Data Communication Artificial Intelligence Mobile Sensor Networks Wireless Cellular Networks Wireless Sensor Networks Internet of Things (IoT) Mobile Intelligent Devices and Human-Computer Interaction Network Control Systems Connected Vehicles * Computer Vision and Algorithms Medical Image Processing Machine Learning Algorithms Computer Vision Reinforcement Learning Generative Adversarial Networks (GANs) Adversarial Machine Learning Modeling and Recognition Human-Computer Interaction * Embedded Systems Technology Lightweight Model Optimization Intelligent Sensor Systems Intelligent Control Systemsand Embedded Devices Embedded Processors and System-on-Chip Embedded Machine Learning (E-ML) Embedded Sensing Systems Autonomous Robotic Systems and Control Technologies Collaborative Robots Unmanned Aerial Vehicle Control Intelligent Robots Smart Cars Autonomous Vehicles
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