Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Florica Mioara Șerban"'
Autor:
Ciprian Cristea, Maria Cristea, Dan Doru Micu, Andrei Ceclan, Radu-Adrian Tîrnovan, Florica Mioara Șerban
Publikováno v:
Sustainability; Volume 14; Issue 17; Pages: 10892
Nowadays, as the technology behind solar photovoltaic systems has been significantly improved, along with a significant decrease in costs, grid-connected photovoltaic systems are becoming an important option to reach a low-carbon energy transition. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e4fbe3b1135486982e2a74caa4373ad
https://doi.org/10.3390/su141710892
https://doi.org/10.3390/su141710892
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1169:012018
The construction industry is one of the largest economic sectors worldwide. It is essential that the firms operating in the construction industry to evaluate accordingly their productivity change both in economic depression and when there is register
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2168eb15e205abb8264cebcec2b7a052
https://doi.org/10.1088/1757-899x/1169/1/012018
https://doi.org/10.1088/1757-899x/1169/1/012018
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol Volume XXX (XX), 2021/2, Iss 2 (2021)
Externí odkaz:
https://doaj.org/article/6a5841b966fe4629884e6be25b066ff3
Publikováno v:
Tehnički Vjesnik, Vol 27, Iss 3, Pp 868-873 (2020)
The aim of this paper is to develop an Artificial Neural Network (ANN) model for springback prediction in the free cylindrical bending of metallic sheets. The proposed ANN model was developed and tested using the Matlab software. The input parameters
Externí odkaz:
https://doaj.org/article/14c2b4a59d2846a2a88e9edbf44d1c60