Conference Information

CEEML 2024: International Conference on Control, Electronic Engineering and Machine Learning

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CEEML
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Submission Date:
2024-09-22
Notification Date:
2024-10-06
Conference Date:
2024-11-22
Location:
Kuala Lumpur, Malaysia
Viewed: 6064   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,470 of 5,693 conferences · Top 61%

#278 of 511 in Electrical & Electronic Engineering #431 of 742 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 25% - 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 2026-10-05

Call For Papers

CEEML 2024 (International Conference on Control, Electronic Engineering and Machine Learning) is an academic conference held in Kuala Lumpur, Malaysia on 2024-11-22. The paper submission deadline is 2024-09-22. Acceptance notifications are sent on 2024-10-06.

Control Engineering Control Theory and Applications Adaptive and Learning Control System Fuzzy and Neural Control Mechatronics Manufacturing Control Systems and Applications Adaptive Control Control System Modeling Soft Computing and Their Applications Process Control​ Complex Systems Nonlinear Systems Intelligent Systems Networked Control Systems Process Control Systems Robotics and Automation Precision Motion Control Fuzzy Control Machine Learning in Control Applications Distributed Control Systems Evolutionary Computation and Control Neural Networks Based Control Systems Intelligent Fault Detection and Diagnosis Robotics and Atomization Engineering ​……………… Electronic Engineering 3D Semiconductor Device Technology Adaptive Signal Processing Electromagnetic and Photonics Electronics System-Level Based Design Fiber Optics and Fiber Devices Radio-Frequency Integrated Circuits Integrated Optics Intelligent Transportation Systems Micro/Nano Systems and Networks Device Electronics for I.C Mixed Signal Circuits Electronics & Nano Electronics Multimedia Services and Technologies Epitaxy and Light-emitting Diodes Optical Electronic Devices & Photonics Analysis of Power Quality and System Stability Integrated Optics and Electro-optics Devices Microwave and millimeter circuit and Antenna Analog Circuits and Digital Circuits Battery Management System Remote control and techniques of GPS Signal Processing Smart Grid / Power IC Circuits and Electronics Applications of Electro-optics Electric Energy Processing Microwave Theory and Techniques Antenna and Propagation Electro-optical Phenomena of Semiconductors Modulation, Coding, and Channel Analysis ​…………………… Machine Learning Automated Driving Deep Learning Supervised Learning Unsupervised Learning Reinforcement Learning Federated Learning Data Enhancement Edge Computing and Intelligent Sensing Big Data Analytics Distributed Sensin Data Processing Machine Learning and Perception Classification for Networks Machine Learning for Network Slicing Optimization Machine Learning for 5G System Machine Learning for User Behavior Prediction New Innovative Machine Learning Methods Optimization of Machine Learning Methods Performance Analysis of Machine Learning Algorithms Experimental Evaluations of Machine Learning Data Mining in Heterogeneous Networks Machine Learning for Multimedia Machine Learning for Internet of Things Machine Learning for Security and Protection Distributed and Decentralized Machine Learning Algorithms Data Analysis and Mining Pattern Recognition Neural Network ​……………………
Last updated by Dou Sun on

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