Zobrazeno 1 - 10
of 35
pro vyhledávání: '"John Rushing"'
Publikováno v:
Engineering Proceedings, Vol 36, Iss 1, p 35 (2023)
The research objective for this study is to identify and evaluate techniques for soil stabilization to support military-vehicle ground maneuver in contested environments. Various types of stabilizers mixed with silty sand are evaluated in the laborat
Externí odkaz:
https://doaj.org/article/cc7422bf091a4956b8651dccf530fa03
Autor:
Alessandro Di Marco, Allyn F. Tennant, Fabio La Monaca, Fabio Muleri, John Rankin, John Rushing, Paolo Soffitta, Giancarlo Baglioni, Luca Baldini, Enrico Costa, Kurtis Dietz, Sergio Fabiani, Vittorio Latorre, Ugo Locatelli, Alberto Manfreda, Stephen L. O'Dell, Lawrence Peirson, Martin C. Weisskopf
Publikováno v:
Space Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray.
Autor:
Synneva Hagen-Lillevik, John Rushing, Evelyn Llerena Cari, Ivy Lersten, Alex J. Polotsky, Kent Lai, Joshua Johnson
We are evaluating the action of the Integrated Stress Response (ISR) pathway and how its enforcement of cell cycle arrest and enhancement of a cytoprotective state contribute to the rate of primordial follicle (PF) loss. Physiological stress and dama
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::579d0b9fd562c2d5c26d09a91f89958d
https://doi.org/10.21203/rs.3.rs-1682172/v1
https://doi.org/10.21203/rs.3.rs-1682172/v1
Publikováno v:
Geo-Congress 2022.
Publikováno v:
Transportation Geotechnics. 39:100944
Publikováno v:
Fertility and Sterility. 118:e89-e90
Autor:
John Rushing, Nanette Santoro
Publikováno v:
Current Opinion in Endocrine and Metabolic Research. 27:100402
Autor:
John Rushing, Cassandra Roeca, Elizabeth Clain, Ivy L. Lersten, Dana R. Siegel, Joshua Johnson, Nanette Santoro, Alex J. Polotsky
Publikováno v:
Fertility and Sterility. 118:e187
The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e7430304ec4647360527aa7bd5445f7
https://doi.org/10.21079/11681/40401
https://doi.org/10.21079/11681/40401
Publikováno v:
GeoAI@SIGSPATIAL
We describe a deep learning convolutional neural network (CNN) for enhancing low resolution multispectral satellite imagery without the use of a panchromatic image. For training, low resolution images are used as input and corresponding high resoluti