- 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
Attachments
- application/pdf attachment: Toward_a_framework_of_extracting_typical_process_routines_based_KRL.pdf
Received on Wednesday, 28 February 2024 13:07:44 UTC