Conference Information

MLES 2027: International Conference on Machine Learning and Embedded Systems

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MLES
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Submission Date:
2027-02-15 Due in 149 days
Notification Date:
Conference Date:
2027-04-23
Location:
Wuhu, China
Years:
Viewed: 2165   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

44.2 / 100
Ranked #3,138 of 5,682 conferences · Top 56%

#239 of 341 in Systems & Architecture #375 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
30
Community attention (10%)
25
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 11

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

MLES 2027 (International Conference on Machine Learning and Embedded Systems) is an academic conference held in Wuhu, China on 2027-04-23. The paper submission deadline is 2027-02-15.

The 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 Systems and 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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