Zobrazeno 1 - 10
of 3 410
pro vyhledávání: '"Glen T"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/2607d602c8a541d58c075ccc97182e53
Autor:
Ai-Jie Wang, Hewen Li, Zhejun He, Yu Tao, Hongcheng Wang, Min Yang, Dragan Savic, Glen T. Daigger, Nanqi Ren
Publikováno v:
Engineering, Vol 36, Iss , Pp 21-35 (2024)
The digital twins concept enhances modeling and simulation through the integration of real-time data and feedback. This review elucidates the foundational elements of digital twins, covering their concept, entities, domains, and key technologies. Mor
Externí odkaz:
https://doaj.org/article/2767a67c1891485ea31405614743257a
Autor:
Steven E. Zhang, Glen T. Nwaila, Shenelle Agard, Julie E. Bourdeau, Emmanuel John M. Carranza, Yousef Ghorbani
Publikováno v:
Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 137-149 (2023)
Evolution in geoscientific data provides the mineral industry with new opportunities. A direction of geochemical data generation evolution is towards big data to meet the demands of data-driven usage scenarios that rely on data velocity. This directi
Externí odkaz:
https://doaj.org/article/3f12ef98690a45ab9673b30bd1e1666f
Autor:
Steven E. Zhang, Glen T. Nwaila, Julie E. Bourdeau, Yousef Ghorbani, Emmanuel John M. Carranza
Publikováno v:
Artificial Intelligence in Geosciences, Vol 4, Iss , Pp 9-21 (2023)
Remote sensing data is a cheap form of surficial geoscientific data, and in terms of veracity, velocity and volume, can sometimes be considered big data. Its spatial and spectral resolution continues to improve over time, and some modern satellites,
Externí odkaz:
https://doaj.org/article/8c2410056b5241adb33d298d8ab061f1
Autor:
Nelson S. Chipangamate, Glen T. Nwaila
Publikováno v:
Energy Geoscience, Vol 5, Iss 2, Pp 100257- (2024)
The pursuit of improved quality of life standards has significantly influenced the contemporary mining model in the 21st century. This era is witnessing an unprecedented transformation driven by pressing concerns related to sustainability, climate ch
Externí odkaz:
https://doaj.org/article/10f263053ade4c559a91d8532f01b6b8
Autor:
Ghorban Asgari, Abdolmotaleb Seid-Mohammadi, Reza Shokoohi, Mohammad Reza Samarghandi, Glen T. Daigger, Behrooz Malekolkalami, Ramin Khoshniyat
Publikováno v:
Microbial Cell Factories, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Background In this study, the effect of static magnetic fields (SMFs) on improving the performance of activated sludge process to enhance the higher rate of microbial growth biomass and improve sludge settling characteristics in real operati
Externí odkaz:
https://doaj.org/article/e023e1ba401e4b7490736c4a413bfe32
Autor:
Ghorban Asgari, Abdolmotaleb Seid-Mohammadi, Reza Shokoohi, Mohammad Reza Samarghandi, Glen T. Diger, Behrooz Malekolkalami, Ramin Khoshniyat
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The use of the kinetic coefficients for the mathematical expression of the biochemical processes and the relationship between the effective parameters is importance. Change of the biokinetic coefficients in the complete-mix activated sludge
Externí odkaz:
https://doaj.org/article/100ade670e9a44a5a9645b67e470bedc
Autor:
Constantin Constantinoiu, Catriona Croton, Mandy B. A. Paterson, Lyn Knott, Joerg Henning, John Mallyon, Glen T. Coleman
Publikováno v:
Parasites & Vectors, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Background The prevalence of Dirofilaria immitis infection in dogs is increasing globally and spreading into new areas. Prevalence of dirofilariosis in the state of Queensland, Australia, was as high as 90% before the introduction of macrocy
Externí odkaz:
https://doaj.org/article/59f44371122344b4aa5fba1bcf45f63b
Autor:
Glen T. Nwaila, Steven E. Zhang, Julie E. Bourdeau, Yousef Ghorbani, Emmanuel John M. Carranza
Publikováno v:
Artificial Intelligence in Geosciences, Vol 3, Iss , Pp 71-85 (2022)
Most known mineral deposits were discovered by accident using expensive, time-consuming, and knowledge-based methods such as stream sediment geochemical data, diamond drilling, reconnaissance geochemical and geophysical surveys, and/or remote sensing
Externí odkaz:
https://doaj.org/article/214630e2ad9347879d34410869b8635d
Publikováno v:
Artificial Intelligence in Geosciences, Vol 3, Iss , Pp 86-100 (2022)
In exploration geochemistry, advances in the detection limit, breadth of elements analyze-able, accuracy and precision of analytical instruments have motivated the re-analysis of legacy samples to improve confidence in geochemical data and gain more
Externí odkaz:
https://doaj.org/article/245240c804bc4689b55a0a32a83e1840