Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ashutosh Karna"'
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 2191 (2022)
The agenda of Industry 4.0 highlights smart manufacturing by making machines smart enough to make data-driven decisions. Large-scale 3D printers, being one of the important pillars in Industry 4.0, are equipped with smart sensors to continuously moni
Externí odkaz:
https://doaj.org/article/f6a6926d7edd406fafb80b97a1470284
Autor:
Ashutosh Karna, Jay Klinkamer
Publikováno v:
Procedia Computer Science. 200:39-48
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::591de2d30f715069cb2147dba934c68f
https://doi.org/10.1016/j.procs.2022.01.203
https://doi.org/10.1016/j.procs.2022.01.203
Autor:
Karina Gibert, Ashutosh Karna
Publikováno v:
Neural Computing and Applications. 34:119-134
Hierarchical clustering is one of the most suitable tools to discover the underlying true structure of a dataset in the case of unsupervised learning where the ground truth is unknown and classical machine learning classifiers are not suitable. In ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8812ed30826059b39b14b74a85aa0470
https://doi.org/10.1007/s00521-021-05873-3
https://doi.org/10.1007/s00521-021-05873-3
Autor:
Ashutosh Karna, Karina Gibert
Hierarchical clustering is one of the most popular techniques in unsupervised segmentation. However, since it has quadratic complexity as it is based on pairwise distance matrix construction, it tends to be less used with really large data cases. CUR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3baa98411e4076b13c1951d765949d6
https://hdl.handle.net/2117/375990
https://hdl.handle.net/2117/375990
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Hierarchical clustering is one of the most preferred choices to understand the underlying structure of a dataset and defining typologies, with multiple applications in real life. Among the existing clustering algorithms, the hierarchical family is on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a30ff30f4bd841d6bd8e2ffd5e7740af
http://hdl.handle.net/2117/373683
http://hdl.handle.net/2117/373683
Autor:
Fahad Shah, Ashutosh Karna
Publikováno v:
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
A key differentiator between the additive manufacturing and the traditional injection molding is the precision-manufacturing. An error-free print job significantly guarantees good part quality with minimum wastage of the material and energy. In pract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3d37b61842eb5221649869cf317a9c
https://doi.org/10.1109/icecce49384.2020.9179391
https://doi.org/10.1109/icecce49384.2020.9179391
Publikováno v:
2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE).
Digital Manufacturing is at the core of the industry 4.0 revolution, owing to smart manufacturing and smart factories, which would allow an unprecedented degree of flexibility and visibility into manufacturing processes from how parts are designed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79e21a24212be18782a6710c5bee6f05
https://doi.org/10.1109/iccike47802.2019.9004381
https://doi.org/10.1109/iccike47802.2019.9004381
Autor:
Karina Gibert, Ashutosh Karna
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030196417
WSOM
WSOM
3D Printing is one of the latest industrial revolutions massively disrupting the manufacturing value of chain and will deeply impact in the new context of Industry 4.0, with new ways of products manufacturing, delivery and maintenance. The 3D Printin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c79fc684d467de339699685674f5f0a2
https://doi.org/10.1007/978-3-030-19642-4_15
https://doi.org/10.1007/978-3-030-19642-4_15