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Autor:
Poyer, Judy
Publikováno v:
Library Journal. Oct2022, Vol. 147 Issue 10, p56-56. 1/5p.
Autor:
Medeiros, Paul de1 P.deMedeiros@ed.ac.uk, Figueroa-O'Farrill, José1,2 J.M.Figueroa@ed.ac.uk, Méndez-Escobar, Elena1 E.Mendez@ed.ac.uk, Ritter, Patricia1 P.D.Ritter@sms.ed.ac.uk
Publikováno v:
Communications in Mathematical Physics. Sep2009, Vol. 290 Issue 3, p871-902. 32p.
Autor:
Hart, William David1
Publikováno v:
Journal of the American Academy of Religion. Sep2020, Vol. 88 Issue 3, p902-905. 4p.
Publikováno v:
Campaigns & Elections (2010). Jul/Aug2011, Vol. 32 Issue 305, p38-42. 5p.
Akademický článek
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Autor:
Piercesare Grimaldi, Martina Lorenzati, Marta Ribodino, Elena Signorino, Annalisa Buffo, Paola Berchialla
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4289 (2023)
Machine learning is usually associated with big data; however, experimental or clinical data are usually limited in size. The aim of this study was to describe how supervised machine learning can be used to classify astrocytes from a small sample int
Externí odkaz:
https://doaj.org/article/4360525be54e4b08aa95c4f077c85483
Reducing the energy consumption of off-highway machinery due to poor system efficiency is an urgent challenge. Several advanced and innovative architectures have been proposed over the years to tackle this problem, but very few of them found fertile
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A71185
https://tud.qucosa.de/api/qucosa%3A71185/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A71185/attachment/ATT-0/
This paper provides an overview of the challenges and possibilities of the integration of electric drives into diesel-hydraulic excavators. Due to the drivers of emission reduction, the use of renewable energies and more energy efficient systems, a g
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A71118
https://tud.qucosa.de/api/qucosa%3A71118/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A71118/attachment/ATT-0/
There is a lot of gravitational potential energy waste when hydraulic excavators work, which seriously affects the efficiency of the whole machine and produces a large amount of emissions. In order to reduce the energy consumption and emissions of la
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A71117
https://tud.qucosa.de/api/qucosa%3A71117/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A71117/attachment/ATT-0/
Automation of mobile construction and agricultural equipment has gained wide acceptance based on increases in productivity, safety, and precision; while also helping upskill operators. On construction equipment, after-market automation of earthmoving
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A71115
https://tud.qucosa.de/api/qucosa%3A71115/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A71115/attachment/ATT-0/