- TypeConference
- Location Zhengzhou, Henan, China
- Date 25-04-2025 - 27-04-2025
Computer Science
Information Technology
Computer/Technology
Hardware/Software/Networking Services
- About MLIC 2025 -
2025 2nd International Conference on Machine Learning and Intelligent Computing(MLIC 2025) will be held in Zhengzhou, China during April 25-27, 2025. The conference organized by Zhengzhou University, AEIC Academic Exchange Center.
MLIC is an annual conference which explores the development and implications in the related fields of Machine Learning and Intelligent Computing with an objective to present the novel and fundamental advancements. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Machine Learning and Intelligent Computing. Featured with invited speeches and paper presentations, MLIC 2025 sincerely welcome interested researchers and professors to understand the frontier research trends and research results.
Highlights of MLIC 2025 include:
â Speeches and reports by high-level experts in the field of optoelectronics and optics
â Group Discussion
â Paper poster presentations and oral presentations in related fields
â Exchange and study of all kinds of personnel in the same industry
Publication
All papers will be reviewed by two or three expert reviewers. After a careful reviewing process, all accepted papers will be published in the PMLR, which will be submitted to EI Compendex, Scopus , Google Scholar for indexing.
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Call For Paper:
The topics of interest for submission include, but are not limited to:
ï¼1ï¼Machine learning, deep learning, artificial intelligence, pattern recognition, network security, computer vision, natural language processing, image processing, etc.
ï¼2ï¼Cloud computing technology, intelligent computing, edge computing, biological computing, embedded computing, neural network computing, blockchain, computing modeling and other intelligent computing;
ï¼3ï¼Application of big data in various industries, data analysis, data analysis, mathematical operations, big data and Internet of Things, probability, mathematics and other data mathematics;
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