Zobrazeno 1 - 10
of 44
pro vyhledávání: '"James P. Wacker"'
Publikováno v:
PeerJ, Vol 7, p e6444 (2019)
Background To ensure the safety of trees, two NDT (nondestructive testing) techniques, electric resistance tomography and stress wave tomography, were employed to quantitatively detect and characterize the internal decay of standing trees. Comparison
Externí odkaz:
https://doaj.org/article/e23dccac3a2e45c4a12c24c4648b103d
Autor:
Asimina Safarika, James W. Wacker, Konstantinos Katsaros, Nicky Solomonidi, George Giannikopoulos, Antigone Kotsaki, Ioannis M. Koutelidakis, Sabrina M. Coyle, Henry K. Cheng, Oliver Liesenfeld, Timothy E. Sweeney, Evangelos J. Giamarellos-Bourboulis
Publikováno v:
Intensive Care Medicine Experimental, Vol 9, Iss 1, Pp 1-16 (2021)
Abstract Background Whether or not to administer antibiotics is a common and challenging clinical decision in patients with suspected infections presenting to the emergency department (ED). We prospectively validate InSep, a 29-mRNA blood-based host
Externí odkaz:
https://doaj.org/article/4f7adbe596b94ccaa08d21bd15bd64b5
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2675:603-612
This paper presents a framework to better identify and measure defects in a bridge using drone-based inspection images integrated with grayscale image enhancement techniques. For this study, a DJI Matrice 210 drone was used for the inspection of a th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24220db49a6101ca013d6b93c31bc5d3
https://doi.org/10.1177/0361198121999605
https://doi.org/10.1177/0361198121999605
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
Unmanned Aerial System (UAS) technologies integrated with image processing algorithms are considered timely and useful for bridge inspections because of improved accessibility, recording ability, and cost-efficiency compared to the conventional inspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc80489e0f5fc1d2476193665796af05
https://doi.org/10.12783/shm2021/36333
https://doi.org/10.12783/shm2021/36333
Publikováno v:
Wood and Fiber Science. 52:73-86
This study describes assessment of the internal conditions of timber bridge structural members along Route 66 in California. These timber bridges were exposed to desert climate conditions for several decades, which can lead to a variety of deteriorat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6c522259fd3407f6aadd3f864465b7f
https://doi.org/10.22382/wfs-2020-007
https://doi.org/10.22382/wfs-2020-007
Publikováno v:
Expert Systems with Applications. 197:116791
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd3198a9aa65acc8b0589431e1cea93
https://doi.org/10.1016/j.eswa.2022.116791
https://doi.org/10.1016/j.eswa.2022.116791
Publikováno v:
Forests, Vol 12, Iss 492, p 492 (2021)
This paper is a review of published studies involving the use of ground penetrating radar (GPR) on wood structures. It also contains background information to help the reader understand how GPR functions. The use of GPR on wood structures began to gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5772b52c9307f4a9b3eb59e9adca9eb1
https://www.mdpi.com/1999-4907/12/4/492
https://www.mdpi.com/1999-4907/12/4/492
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783030649074
This study is intended to improve visual bridge damage measurement through image analysis of drone inspection images optimized in terms of quality. To optimize the drone-captured image quality, image properties, including brightness, contrast, and sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57d6f007f0340c60aa5946bcbaa88628
https://doi.org/10.1007/978-3-030-64908-1_47
https://doi.org/10.1007/978-3-030-64908-1_47
Publikováno v:
Structures Congress 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d9f7f2a83715c7cb17aa15afc69e9d6
https://doi.org/10.1061/9780784482896.033
https://doi.org/10.1061/9780784482896.033