- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Wed, 28 Feb 2024 14:04:00 +0100
- To: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=Sq7ioVRT5+e=Ft6WKkNUR0bMaxEvqmtbhvKqdTEK9SxEg@mail.gmail.com>
Complimentary read, relevant to our CG, courtesy of the authors- Toward a framework of extracting typical machining process routines based on knowledge representation learning Jinjing Duan , Yang Duan b,* a College of Public Administration, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, Hubei 430070, ---------- Forwarded message --------- From: 禅修者 <duan_yang71@126.com> Date: Wed, Feb 28, 2024 at 1:58 PM Subject: Toward a framework of extracting typical process routines based KRL To: <paola.dimaio@gmail.com> Dear Paola Di Maio, We are glad that you would liike to share our paper with your group members. The following is the Share Link of the article: https://authors.elsevier.com/a/1ifzm_XX0B0zXF In addition, the preprint copy is attached to this email as well. If you have any question, please contact us. Kind regards, Jinjing Duan Yang Duan Sichuan university
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- application/pdf attachment: Toward_a_framework_of_extracting_typical_process_routines_based_KRL.pdf
Received on Wednesday, 28 February 2024 13:07:44 UTC