The 2nd International Conference on Machine Learning and Knowledge Engineering 2023 (MLKE 2023) will be held in Changsha, China on February 24-26, 2023. The conference will focus on the latest research achievements in the field of machine learning and knowledge engineering theory and application, and provide an authoritative international exchange platform for researchers in related fields, so as to promote good academic exchanges among scholars in related fields. It also provides global partners to establish business and scientific cooperation around the world.
Machine learning, as a multidisciplinary interdisciplinary subject, has become a common research focus in the field of artificial intelligence and pattern recognition, and its theories and methods have been widely applied to solve complex problems in engineering applications and scientific fields. Knowledge engineering, as a new engineering technology subject, has a broad prospect in the fields of communication, education and control system, which are combined by electronic computer and modern communication technology.
The main topics of this conference include: artificial intelligence, big data analysis, deep learning, intelligent software, knowledge engineering in natural language, etc.
Full Paper Submission Deadline: February 24 2023
Registration Deadline: February 25, 2023
Final Paper Submission Deadline: February 25, 2023
Conference Date: February 24-26, 2023
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
MLKE 2022 丨IEEE Xplore | EI Compendex丨Scopus
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.
Human-Centric Intelligent Systems (ISSN Online: 2667-1336)
Human-Centric Intelligent Systems is an international and peer-reviewed journal. Publishing services are provided by Springer Nature. The journal is dedicated to disseminating the latest research findings on all theoretical and practical applications in human-centric intelligent systems, and to providing cutting-edge theoretical and algorithmic insights in human-centric computing and analytics. Welcome to submit your articles and the expanded version of conference papers to HCIN！
Journal Website: https://www.springer.com/journal/44230
Author Guidelines: https://www.springer.com/journal/44230/submission-guidelines
Submission Link: https://www.editorialmanager.com/hcin
>>>Free of APC (Article Processing Charge）
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Please contact HCIN Editorial office if you have any questions: Editor Du 【Tel: 13603860656 (wechat number); Email: firstname.lastname@example.org】