**Special Annoucement**
ICMLC and ICWAPR 2020 will be held virutally by Zoom on 4th, December, 2020 due to the current Covid-19 health emergency. For detail, please click here
Over the years, the International Conference on Machine Learning and Cybernetics (ICMLC) has emerged as the leading international gathering of people from academia, professionals and industry in the field of Machine Learning and Cybernetics. In this annual conference, researchers and practitioners from around the world gather together to interact, to inform and to inspire.
Leading international researchers, including leaders from IEEE, especially the IEEE Systems, Man, and Cybernetics Society, will serve as Tutorial and Keynote Speakers. ICMLC attendees will have many opportunities to network and discuss their research with these prominent peers. ICMLC also provides a quality platform for the broad dissemination of significant research results and innovative practices through conference presentations and published proceedings. Furthermore, authors have the opportunity of further development of their work via journal and monograph publications too. Additionally, ICMLC has research consultation sessions, well-focused invited sessions on leading technologies, panels on topics of great interest to participants, and conference awards for Lotfi Zadeh Best Paper Awards and Best Student Conference Paper Awards. We invite authors to submit original papers that contain significant research results, development work, and innovative practices to ICMLC 2020. ICMLC 2020 will be held on July 12-15, 2020 in Adelaide, Australia.
International Journal of Machine Learning and Cybernetics
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International Journal on Wavelets, Multiresolution, and Information Processing
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Granular Computing
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We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken:
在从事科学研究以及发表研究成果时,遵守学术道德是对所有研究人员最基本的要求,任何剽窃行为都是一种无法接受的学术不端行为,也是一种广大科研人员无法容忍的行为。在本次会议中为杜绝此类行为,如果发现具有剽窃行为的作者,下列惩罚措施将会被执行: