Zobrazeno 1 - 10
of 95
pro vyhledávání: '"data view"'
Publikováno v:
Journal of Intelligent Manufacturing and Special Equipment, Vol 3, Iss 1, Pp 48-66 (2022)
Purpose – Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose D
Externí odkaz:
https://doaj.org/article/bbaf0bbd1e22451fb2ac62c8cf6dc80f
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
We present a skillful deep learning algorithm for supporting quality control of ocean temperature measurements, which we name SalaciaML according to Salacia the roman goddess of sea waters. Classical attempts to algorithmically support and partly aut
Externí odkaz:
https://doaj.org/article/6dee556ab1294e8bae901c720e8eb655
Business process automation improves organizations’ efficiency to perform work. In existing business process management systems, process instances run independently from each other. However, synchronizing instances carrying similar characteristics,
Externí odkaz:
http://opus.kobv.de/ubp/volltexte/2014/6908/
Publikováno v:
Jurnal Meteorologi Klimatologi dan Geofisika. 6:7-14
Energi listrik merupakan suatu hal yang sangat dibutuhkan dalam keberlangsungan kehidupan manusia. Kebutuhan akan energi listrik yang semakin meningkat dari waktu ke waktu memerlukan inovasi baru untuk menghasilkan energi listrik yang ramah lingkunga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d24c8bb69812392857ab39fd4ea7c810
https://doi.org/10.36754/jmkg.v6i2.118
https://doi.org/10.36754/jmkg.v6i2.118
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638221
ICONIP (5)
ICONIP (5)
Deep learning models trained using massive amounts of data, tend to capture one view of the data and its associated mapping. Different deep learning models built on the same training data may capture different views of the data based on the underlyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a83331a9e40edfbe0cb0f3bd45660b94
https://doi.org/10.1007/978-3-030-63823-8_44
https://doi.org/10.1007/978-3-030-63823-8_44
Autor:
Mustapha Ouhssain, Xosé Anxelu G. Morán, Y. V. B. Sarma, Maria Ll. Calleja, Surya Prakash Tiwari, Burton H. Jones, Malika Kheireddine
Publikováno v:
Deep Sea Research Part I: Oceanographic Research Papers. 133:72-84
The authors express their gratitude to the scientists, officers and crews of the research vessel Thuwal and the Coastal and Marine Resources Core Lab for logistical support and assistance onboard during the fieldwork. V. Vellucci, E. Organelli and E.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf3fd73db5092491f3350753ce8c7b34
https://doi.org/10.1016/j.dsr.2018.02.001
https://doi.org/10.1016/j.dsr.2018.02.001
Publikováno v:
Applied Mathematics and Fundamental Informatics. 5:35-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77edfe722fd282283471bfc470c12d97
https://doi.org/10.25206/2311-4908-2018-5-4-35-43
https://doi.org/10.25206/2311-4908-2018-5-4-35-43
Publikováno v:
Integration. 58:311-319
Memory access bottlenecks are often due to the result of mismatch between the processor hardware's view of data and the algorithmic/logical view of data. This variation in data views is especially more pronounced in applications involving large datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ddaaa76fdf4e0b7db9bb7080de2eac
https://doi.org/10.1016/j.vlsi.2016.12.001
https://doi.org/10.1016/j.vlsi.2016.12.001
Publikováno v:
2019 North American Power Symposium (NAPS).
This paper introduces a new technique for wide-area visualization of information about electric power grids known as a pseudo-geographic mosaic displays (PGMDs). The PGMD approach uses dynamically created geographic data view (GDV) objects to show in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a80a506b7092efd9356fe27a5412c8d5
https://doi.org/10.1109/naps46351.2019.8999970
https://doi.org/10.1109/naps46351.2019.8999970
Autor:
Eko Swistoro, Lena Rahmidar, Agus Sundaryono, Deni Parlindungan, M. Lutfi Firdaus, Rina Elvia
Publikováno v:
Proceedings of the International Conference on Educational Sciences and Teacher Profession (ICETeP 2018).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11cf1d2da00d16cf166d190027b0bafa
https://doi.org/10.2991/icetep-18.2019.25
https://doi.org/10.2991/icetep-18.2019.25