2021 3rd International Workshop on Signal Processing and Machine Learning (WSPML 2021)

Memo

★2021 3rd International Workshop on Signal Processing and Machine Learning (WSPML 2021)---Ei Compendex & Scopus—Call for paper    December 1-3, 2021｜Beijing, China｜Website: www.wspml.org   ★WSPML 2021 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Signal Processing and Machine Learning from around the globe. WSPML 2021 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career.   ★Publication and Indexing All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by  all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. A selection of papers will be recommended to be published in international journals.   ★Keynote Speakers Prof.Jocelyn Chanussot, Chinese Academy of Sciences, China Prof. Guoyin Wang, Chongqing University of Posts and Telecommunications, China Prof.Yingxu Wang, University of Calgary, Canada Prof. Tianrui LI, Southwest Jiaotong University, China Dr. Lingyang Song, Peking University, China Dr.Ahmad P. Tafti, University of Southern Maine, USA   ★Program Preview/ Program at a glance December 1: Registration + Icebreaker Reception December 2: Opening Ceremony+ KN Speech+ Technical Sessions December 3: Technical Sessions+ Half day tour/Lab tours   ★Paper Submission 1.Submit Via CMT: https://cmt3.research.microsoft.com/WSPML2021 2.Submit Via email directly to: This email address is being protected from spambots. You need JavaScript enabled to view it.   ★CONTACT US Ms. Willa P. P. Wong Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Website: www.wspml.org