Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lea, Monica"'
Autor:
Lea, Monica1 (AUTHOR) mlea@unomaha.edu
Publikováno v:
Administrative Theory & Praxis (Taylor & Francis Ltd). Nov2024, p1-18. 18p. 3 Illustrations.
Autor:
Bryan, Tara Kolar1 (AUTHOR) tbryan@unomaha.edu, Lea, Monica1 (AUTHOR), Hyánek, Vladimír2 (AUTHOR)
Publikováno v:
Central European Economic Journal. Jan2023, Vol. 10 Issue 57, p35-49. 15p.
Autor:
Lea Monica B. Alonzo, Homer S. Co
Publikováno v:
ACIRS
This research focuses on using photoplethysmogram (PPG) signals for biometric recognition. Specifically, the biometric traits studied are the ensemble empirical mode decomposition (EEMD) and power spectral density (PSD) of the PPG signals. The classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba5460b0425963767639db974f6a0d42
https://doi.org/10.1109/acirs.2019.8935943
https://doi.org/10.1109/acirs.2019.8935943
Autor:
Homer S. Co, Renann G. Baldovino, Nilo T. Bugtai, Francheska B. Chioson, Lea Monica B. Alonzo
Publikováno v:
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
This study presents a machine learning approach to accurately assess the quality of coconut sugar using RGB values. Python and scikit-learn were used to run the following machine learning algorithms: artificial neural network (ANN), stochastic gradie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99e210107d49f10d6b179cee23936f4
https://doi.org/10.1109/hnicem.2018.8666315
https://doi.org/10.1109/hnicem.2018.8666315
Autor:
Lea Monica B. Alonzo, Homer S. Co
Publikováno v:
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
Ventricular fibrillation is a type of cardiac arrhythmia which is responsible for several cases of sudden cardiac arrests. As many cases of arrhythmia result to fatality, it is the goal of this research to develop a method to analyze this condition t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b535fe6eb8b9e692bf88cc6a9c8216ee
https://doi.org/10.1109/hnicem.2018.8666241
https://doi.org/10.1109/hnicem.2018.8666241
In this thesis we investigate how we can promote the choice of the MMR-vaccine in Denmark. Measles is eliminated in Denmark, but there is a trend today not to vaccinate your child for various reasons. This is a great concern for us. If parents decide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______278::b6a4761b548670af9eb4daf6325aee57
https://rucforsk.ruc.dk/ws/files/63773663/MFR_vaccine__en_empirisk_undersogelse_af_hvad_der_skal_til_for_at_fremme_valget_af_MFR_vaccinen.pdf
https://rucforsk.ruc.dk/ws/files/63773663/MFR_vaccine__en_empirisk_undersogelse_af_hvad_der_skal_til_for_at_fremme_valget_af_MFR_vaccinen.pdf
Autor:
Lea Monica B. Alonzo, Delfin Enrique G. Lindo, Francisco Emmanuel T. Munsayac, Nilo T. Bugtai, Renann G. Baldovino
Publikováno v:
2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM).
In digital image processing, template matching is a technique used for finding or searching for areas of an image that could either match or be similar to the template image. In this study, an algorithm that utilizes both Python programming and the O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d50ed84e377fbef6ebce49e95241d9cc
https://doi.org/10.1109/hnicem.2017.8269520
https://doi.org/10.1109/hnicem.2017.8269520
Publikováno v:
Molecules 2000;5(3):354-355
Biblioteca Digital (UBA-FCEN)
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Molecules
Volume 5
Issue 3
Pages 354-355
Molecules, Vol 5, Iss 3, Pp 354-355 (2000)
Biblioteca Digital (UBA-FCEN)
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Molecules
Volume 5
Issue 3
Pages 354-355
Molecules, Vol 5, Iss 3, Pp 354-355 (2000)
A screening of metabolites guided by antimicrobial and citotoxic bioassays was conducted with several fungi. The bioactive compounds were isolated and identified from the active extracts. Fil: Levy, Lea Monica. Universidad de Buenos Aires. Facultad d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dd5f88414513bbe47fe0b93f8fb7151