Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Julian Gil"'
Autor:
Jenniffer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, Julian Gil-González, Tom De Swaef, Jose A. Fernandez-Gallego
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2854 (2024)
To optimize growth and management, precision agriculture relies on a deep understanding of agricultural dynamics, particularly crop water status analysis. Leveraging unmanned aerial vehicles, we can efficiently acquire high-resolution spatiotemporal
Externí odkaz:
https://doaj.org/article/25861f817eea496e9edb90d82ecf6e32
Autor:
Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 7, p 3518 (2023)
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical. In addition, these
Externí odkaz:
https://doaj.org/article/f2af93c79b4948c9ba5a4126634a127a
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5472 (2022)
Sentiment analysis is a relevant area in the natural language processing context–(NLP) that allows extracting opinions about different topics such as customer service and political elections. Sentiment analysis is usually carried out through superv
Externí odkaz:
https://doaj.org/article/ae912072b14e4f558b57e0b5b8013f3d
Autor:
Andrés F. PEÑA-CRUZ, Stephania SANDOVAL ARANGO, Angie PATIÑO MONTOYA, Mailyn BEDOYA, Alejandra RODRÍGUEZ ORTIZ, Juan ORJUELA VASQUEZ, Alejandra ORTEGA, Juan F. LÓPEZ, Edward MOLINA HENAO, Angélica GUZMÁN, Julian GIL, Heiber CÁRDENAS HENAO
Publikováno v:
Acta Biológica Colombiana, Vol 20, Iss 1 (2015)
The coat genetic markers and skeleton abnormalities have allowed characterize the profile from more than 400 domestic cat populations around the world. 15 years ago, that profile was established in the city of Cali (Colombia). In this study it was de
Externí odkaz:
https://doaj.org/article/c1f2787188004685bddcf5ee53c00f8a
Autor:
Géraldine, Layani, Brigitte, Vachon, Arnaud, Duhoux, Marie-Thérèse, Lussier, Julian, Gil, Isabelle, Brault, Marie-Claude, Vanier, Isabel, Rodrigues, Aude, Motulsky, Janusz, Kaczorowski, Pierre-Marie, David, Alex, Battaglini
Publikováno v:
Journal of Interprofessional Care. 37:329-332
Type 2 diabetes is a complex chronic disease that requires ongoing monitoring by an interprofessional team to prevent complications. The INMED (INterprofessional Management and Education in Diabetes) care pathway was developed by our team to optimize
Publikováno v:
Proceedings of the Workshop on Stable Hybrid Perovskite Materials for Photovoltaics Under Real-World Conditions.
Autor:
Alfonso Insuasty Rodríguez, Yani Vallejo Duque, Eulalia Borja Bedoya, David Felipe Céspedes Rodríguez, Luis Alfredo Burbano Narváez, Freddy Díaz, Julián Gil
Publikováno v:
Revista Kavilando, Vol 15, Iss 2, Pp 207-228 (2023)
Estamos siendo testigos de un mundo que ya no gira en torno a la región euroatlántica, sino que se caracteriza cada vez más por el ascenso estratégico de China y la creciente importancia del Indo-Pacífico. China ha consolidado su posición como
Externí odkaz:
https://doaj.org/article/f4a99bf247304ed39bc11687e7e0d948
Autor:
Oscar Danilo Montoya Giraldo, Andrés Escobar Mejía, Walter Julián Gil González, Alejandro Garcés Ruiz
La potencia reactiva es un concepto abstracto y difícil de definir, especialmente en sistemas con alto desbalance y presencia de armónicos, se trata de una potencia circulante entre el campo magnético y el campo eléctrico, sin ser realmente gener
Autor:
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramon Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Sakari Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-15 (2023)
Abstract Background Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missing values are typically imputed using established
Externí odkaz:
https://doaj.org/article/9d3ea5d2aba94675b450444e5c79243e
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