Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alicja Szmigiel"'
Publikováno v:
Minerals, Vol 14, Iss 4, p 331 (2024)
Flotation stands out as a successful and extensively employed method for separating valuable mineral particles from waste rock. The efficiency of this process is subjected to the distinct physicochemical attributes exhibited by various minerals. Howe
Externí odkaz:
https://doaj.org/article/7ed04c79093248eea55954e30f5286b7
Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
Publikováno v:
Energies, Vol 12, Iss 9, p 1735 (2019)
Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue. A typica
Externí odkaz:
https://doaj.org/article/621fd777da7f439d969a0de865ba7e18
Autor:
Alicja Szmigiel, Derek B. Apel
Publikováno v:
Journal of Sustainable Mining. 21:241-248
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1cccfe764362519d093558938132b90
https://doi.org/10.46873/2300-3960.1369
https://doi.org/10.46873/2300-3960.1369
Publikováno v:
Powder Technology. 375:317-326
The accurate prediction of grade/recovery is instrumental to automation control in a flotation process. It is also challenging due to the complex interactions and codependences of manipulating variables. The deep learning network FlotationNet, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac5fd17c89a95f49f2ce5b2fd1d6e03b
https://doi.org/10.1016/j.powtec.2020.07.102
https://doi.org/10.1016/j.powtec.2020.07.102
Publikováno v:
Neural Computing and Applications. 32:13639-13649
Accurate and timely investigation to concentrate grade and recovery is a premise of realizing automation control in a froth flotation process. This study seeks to use deep learning technologies modeling a manufacturing flotation process, forecasting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb0a95b954a3407bd7bbc558c8b2e9da
https://doi.org/10.1007/s00521-020-04773-2
https://doi.org/10.1007/s00521-020-04773-2
Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
Publikováno v:
Energies, Vol 12, Iss 9, p 1735 (2019)
Energies; Volume 12; Issue 9; Pages: 1735
Energies; Volume 12; Issue 9; Pages: 1735
Recognizing and distinguishing coal and gangue are essential in engineering, such as in coal-fired power plants. This paper employed a convolutional neural network (CNN) to recognize coal and gangue images and help segregate coal and gangue. A typica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::666a83e25193e1945910ac0d1783b7ee
https://doi.org/10.3390/en12091735
https://doi.org/10.3390/en12091735