Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Javier Alonso Garcia"'
Publikováno v:
International Journal of Industrial Engineering and Management, Vol 12, Iss 1, Pp 37-48 (2021)
The COVID-19 pandemic has driven increases in the provision of services through digital channels, even by more traditional companies. An Omnichannel model of service provision poses new management challenges for companies. This research reviews the l
Externí odkaz:
https://doaj.org/article/3d2458e82c264ba99384691df03145b0
Akademický článek
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Publikováno v:
International Journal of Industrial Engineering and Management, Vol 12, Iss 1, Pp 37-48 (2021)
e_Buah Biblioteca Digital Universidad de Alcalá
instname
Universidad de Alcalá (UAH)
e_Buah Biblioteca Digital Universidad de Alcalá
instname
Universidad de Alcalá (UAH)
The COVID-19 pandemic has driven increases in the provision of services through digital channels, even by more traditional companies. An Omnichannel model of service provision poses new management challenges for companies. This research reviews the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6920f899aabe138de9d79045d08687
http://ijiemjournal.org/counter/click.php?id=vol12_01_04
http://ijiemjournal.org/counter/click.php?id=vol12_01_04
Autor:
Javier Alonso Garcia, Fabien Cardinaux, Stefan Uhlich, Akira Nakamura, Stephen Tiedemann, Lukas Mauch, Thomas Kemp, Kazuki Yoshiyama
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 14:860-870
Operating deep neural networks (DNNs) on devices with limited resources requires the reduction of their memory as well as computational footprint. Popular reduction methods are network quantization or pruning, which either reduce the word length of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c1b5bf2b2fa53dd1b93045a51bf4a66
https://doi.org/10.1109/jstsp.2020.3005030
https://doi.org/10.1109/jstsp.2020.3005030
Akademický článek
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Autor:
Alonso-Garcia, Javier, Pablo-Marti, Federico, Núñez-Barriopedro, Estela, Cuesta-Valiño, Pedro
Publikováno v:
Journal of Business & Industrial Marketing; 2023, Vol. 38 Issue 2, p317-336, 20p
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Dec2023, Vol. 14 Issue 6, p1-50, 50p
Autor:
Roger E. Cohen, Maren Hempel, Francesco Mauro, Douglas Geisler, Javier Alonso-Garcia, Karen Kinemuchi
Publikováno v:
Astronomical Journal; Dec2015, Vol. 150 Issue 6, p1-1, 1p
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs.
Publikováno v:
ACM Transactions on Embedded Computing Systems; Sep2022, Vol. 21 Issue 5, p1-22, 22p
Publikováno v:
International Journal of Industrial Engineering & Management (IJIEM); 2021, Vol. 12 Issue 1, p37-48, 12p