Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Brad Lane"'
Autor:
Jason Westin, John M. Burke, Andrew E. Chapman, Turk Kilavuz, Cindy Xu, Yochi Schmuely, Brad Lane Stanford, Emily Beedle, John Radford
Publikováno v:
Blood. 140:6638-6639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f1053ee2aa90ffcd1555f85e86c734
https://doi.org/10.1182/blood-2022-162870
https://doi.org/10.1182/blood-2022-162870
Publikováno v:
Energy Procedia. 121:142-149
New residential buildings in Australia must demonstrate compliance with the energy efficiency provisions of the National Construction Code (NCC) in order to gain a building permit. 71% of new residential buildings demonstrate compliance by using a Na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::291684114c582b18c171f3c58011b019
https://doi.org/10.1016/j.egypro.2017.08.011
https://doi.org/10.1016/j.egypro.2017.08.011
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030522452
This paper describes the results of formally evaluating the MCV (Markov concurrent vision) image labeling algorithm which is a (semi-) hierarchical algorithm commencing with a partition made up of single pixel regions and merging regions or subsets o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7f2324396dda6ee609adfa25d6ad56
https://doi.org/10.1007/978-3-030-52246-9_27
https://doi.org/10.1007/978-3-030-52246-9_27
Autor:
Westin, Jason, Burke, John M., Chapman, Andrew E., Kilavuz, Turk *, Xu, Cindy *, Schmuely, Yochi *, Stanford, Brad Lane, Beedle, Emily *, Radford, John *
Publikováno v:
In Blood 15 November 2022 140 Supplement 1:6638-6639
Publikováno v:
Expert Systems with Applications. 42:8658-8668
Investment in ageing infrastructure is a significant societal challenge.Cast iron pipes still constitute a significant portion of many water networks and various technologies are available to rehabilitate them.Under certain circumstances, trenchless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e42d997d3781dd57767187122ca4fa6
https://doi.org/10.1016/j.eswa.2015.07.020
https://doi.org/10.1016/j.eswa.2015.07.020
Publikováno v:
Applied Artificial Intelligence. 28:675-689
Automatic image interpretation for pipe inspection is a relatively recent area of research, which has great potential benefit. An important component of such systems is crack detection, or, more generally, edge or discontinuity detection. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa8e44417e39a4a8e1b4dd91a806652
https://doi.org/10.1080/08839514.2014.927689
https://doi.org/10.1080/08839514.2014.927689