Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Guilherme N DeSouza"'
Autor:
João Lúcio de Souza, Saulo William da Silva Costa, Fernando Augusto Ribeiro Costa, Alana Miranda Medeiros, Guilherme N. DeSouza, Marcos César da Rocha Seruffo
Publikováno v:
PLoS ONE, Vol 18, Iss 10 (2023)
Externí odkaz:
https://doaj.org/article/8b310aba8c904a7fa8bcd51287ef1c49
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4335 (2021)
Our previous studies demonstrated that it is possible to perform the classification of both simulated pressed and actual vocally fatigued voice productions versus vocally healthy productions through the pattern recognition of sEMG signals obtained fr
Externí odkaz:
https://doaj.org/article/d42d50fb008642138e15281d42f95bca
Autor:
Parth C. Upadhyay, John A. Lory, Guilherme N. DeSouza, Timotius A. P. Lagaunne, Christine M. Spinka
Publikováno v:
Journal of the ASABE. 65:75-86
HighlightsA machine learning framework estimated residue cover in RGB images taken at three resolutions from 88 locations.The best results primarily used texture features, the RFE-SVM feature selection method, and the SVM classifier.Accounting for sh
Publikováno v:
Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA.
Autor:
Silvas Prince, Nakini Tushar Kanda Das, Mackensie Murphy, Babu Valliyodan, Guilherme N. DeSouza, Henry T. Nguyen
Publikováno v:
Plant Phenome Journal, Vol 1, Iss 1 (2018)
The root angle and fibrous root score determines soybean [ (L.) Merr.] productivity in water-limited environments. Studying root traits in the field is technically difficult to do nondestructively, and varying agroclimatic and edaphic factors create
Externí odkaz:
https://doaj.org/article/b9ff2aa21a374e7691c96c7e439aa811
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
Sensors, Vol 17, Iss 1, p 214 (2017)
In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects da
Externí odkaz:
https://doaj.org/article/672f90dc6b184f98838fed6aa910e085
Autor:
Stanton R. Price, Brendan Alvey, Timothy C. Havens, Adam Webb, Jessica L. Brown, Guilherme N. DeSouza, Anthony J. Pinar, Derek T. Anderson
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Cybersecurity of autonomous vehicles is a pertinent concern both for defense and also civilian systems. From self-driving cars to autonomous Navy vessels, malfunctions can have devastating consequences, including losses of life and infrastructure. Au
Autor:
Youyou Wang, Guilherme N. DeSouza
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2010 (2010)
This paper presents a new and compact 3D representation for nonrigid objects using the motion vectors between two consecutive frames. Our method relies on an Octree to recursively partition the object into smaller parts. Each part is then assigned a
Externí odkaz:
https://doaj.org/article/a8f3c62dbc8947bcacae186236c54ab0