Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rahul B. Dhabale"'
Publikováno v:
Frattura ed Integrità Strutturale, Vol 17, Iss 63, Pp 234-245 (2023)
A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do
Externí odkaz:
https://doaj.org/article/40fb358c338b49efa8e5fe647ffcf5c7
Publikováno v:
Frattura ed Integrità Strutturale, Vol 17, Iss 63 (2022)
A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do
Externí odkaz:
https://doaj.org/article/50da2c60445d4b218f265978d7530ac1
Autor:
Vijaykumar S. Jatti, Rahul B. Dhabale, Akshansh Mishra, Nitin K. Khedkar, Vinaykumar S. Jatti, Ashwini V. Jatti
Publikováno v:
Applied System Innovation, Vol 5, Iss 6, p 107 (2022)
The advancement in technology has attracted researchers to electric discharge machining (EDM) for providing a practical solution for overcoming the limitations of conventional machining. The current study focused on predicting the Material Removal Ra
Externí odkaz:
https://doaj.org/article/7fcafe6d17964b959c7705ccdc35828c
Publikováno v:
Key Engineering Materials. 941:3-10
In this study, the controlled input parameters namely welding speed and spindle speed were optimized by Taguchi method for reinforcement of copper particulates in aluminium alloy (AA6061-AA6063-T6). High carbon and high chromium steel i.e. tool steel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57d7acdf99bd752ce5d49960448bd409
https://doi.org/10.4028/p-ltn695
https://doi.org/10.4028/p-ltn695