Zobrazeno 1 - 10
of 1 266
pro vyhledávání: '"Johnson, Patrick"'
Autor:
Mattish, Richard H., Burke, Timothy J., Johnson, Patrick R., Sosolik, Chad E., Marler, Joan P.
We present a broadly applicable in situ method for profiling ion beams using electrostatic deflectors and a Faraday cup. By deconvolving the detector geometry from the resulting current profiles, spatially resolved absolute current density profiles a
Externí odkaz:
http://arxiv.org/abs/2303.00921
Artificial intelligence–based screening for cardiomyopathy in an obstetric population: A pilot study
Autor:
Adedinsewo, Demilade, Morales-Lara, Andrea Carolina, Hardway, Heather, Johnson, Patrick, Young, Kathleen A., Garzon-Siatoya, Wendy Tatiana, Butler Tobah, Yvonne S., Rose, Carl H., Burnette, David, Seccombe, Kendra, Fussell, Mia, Phillips, Sabrina, Lopez-Jimenez, Francisco, Attia, Zachi I., Friedman, Paul A., Carter, Rickey E., Noseworthy, Peter A.
Publikováno v:
In Cardiovascular Digital Health Journal June 2024 5(3):132-140
Autor:
Ferreira Jr, José Mario, Trindade, Gustavo F., Simonelli, George, Pires, Carlos Augusto de Morais, Silva, Ana Cristina Morais da, Rossi, Jesualdo Luiz, Santos, Luiz Carlos Lobato dos, Johnson, Patrick Alfred
Publikováno v:
In Applied Surface Science 30 May 2024 656
Autor:
Johnson, Patrick Matthew
This paper presents findings from a study designed to identify skills and strategies students with visual impairments have developed to aid their social integration into higher education campus life. Attending college provides numerous learning oppor
Externí odkaz:
http://hdl.handle.net/10919/26834
http://scholar.lib.vt.edu/theses/available/etd-04132010-225216/
http://scholar.lib.vt.edu/theses/available/etd-04132010-225216/
Bayesian optimization is used in many areas of AI for the optimization of black-box processes and has achieved impressive improvements of the state of the art for a lot of applications. It intelligently explores large and complex design spaces while
Externí odkaz:
http://arxiv.org/abs/2108.00002
A lot of technological advances depend on next-generation materials, such as graphene, which enables a raft of new applications, for example better electronics. Manufacturing such materials is often difficult; in particular, producing graphene at sca
Externí odkaz:
http://arxiv.org/abs/2107.14257