Zobrazeno 1 - 10
of 2 302
pro vyhledávání: '"Luis, Sanchez"'
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling
Melanoma, a dangerous type of skin cancer resulting from abnormal skin cell growth, can be treated if detected early. Various approaches using Fully Convolutional Networks (FCNs) have been proposed, with the U-Net architecture being prominent To aid
Externí odkaz:
http://arxiv.org/abs/2310.13604
In this paper, we tackle the problem of Unmanned Aerial (UA V) path planning in complex and uncertain environments by designing a Model Predictive Control (MPC), based on a Long-Short-Term Memory (LSTM) network integrated into the Deep Deterministic
Externí odkaz:
http://arxiv.org/abs/2302.10669
Autor:
Tapia, Luis Sanchez
Convolutional Neural Networks (CNN) have provided new and accurate methods for processing digital images and videos. Yet, training CNNs is extremely demanding in terms of computational resources. Also, for specific applications, the standard use of t
Externí odkaz:
http://arxiv.org/abs/2208.01638
Large-scale training of Convolutional Neural Networks (CNN) is extremely demanding in terms of computational resources. Also, for specific applications, the standard use of transfer learning also tends to require far more resources than what may be n
Externí odkaz:
http://arxiv.org/abs/2207.00672
Autor:
Ann Blair Kennedy, Ariana Mitcham, Katherine Parris, Faith Albertson, Luis Sanchez Ferrer, Conor O'Boyle, Maushmi K. Patel, Tracey Gartner, Amy M. Broomer, Evan Katzman, Jeanette Coffin, Jennifer T. Grier, Nabil Natafgi
Publikováno v:
Learning Health Systems, Vol 8, Iss S1, Pp n/a-n/a (2024)
Abstract Background An integral component of research within a learning health system is patient engagement at all stages of the research process. While there are well‐defined best practices for engaging with patients on predetermined research ques
Externí odkaz:
https://doaj.org/article/3f6b7091780b45b58c0e3305fcae1d8b
Autor:
Jose Luis Sanchez-Salvador, Angeles Blanco, Aleta Duque, María José Negro, Paloma Manzanares, Carlos Negro
Publikováno v:
Carbohydrate Polymer Technologies and Applications, Vol 7, Iss , Pp 100525- (2024)
(TEMPO)-mediated oxidation (TMO) is a widely recognized pretreatment for producing highly fibrillated cellulose nanofibrils (CNFs) because of its efficiency and selectivity. However, the challenges of scaling up this process is limiting its implement
Externí odkaz:
https://doaj.org/article/f4a88b3a90d5484faa22bc72b801569a
Publikováno v:
IEEE Access, Vol 12, Pp 64006-64049 (2024)
Anomaly detection is a critical task in ensuring the security and safety of infrastructure and individuals in smart environments. This paper provides a comprehensive analysis of recent anomaly detection solutions in data streams supporting smart envi
Externí odkaz:
https://doaj.org/article/eff008731c9d43eca497fa345f63f7c2
Autor:
Jose-Francisco Gomez-Hernandez, Jose-Maria Gutierrez-Hernandez, Antonio Jimeno-Morenilla, Jose-Luis Sanchez-Romero, Maria-Dolores Fabregat-Periago
Publikováno v:
IEEE Access, Vol 12, Pp 5066-5080 (2024)
Traditional manufacturing industries are currently immersed in an automation process, integrating new techniques and tools, driven by the demands from producers to improve the manufacturing process as well as the working conditions of employees. For
Externí odkaz:
https://doaj.org/article/f11f688b20954221a66987b3ff8e5a6b
Autor:
Tapia, Luis Sanchez, Gomez, Antonio, Esparza, Mario, Jatla, Venkatesh, Pattichis, Marios, Celedón-Pattichis, Sylvia, LópezLeiva, Carlos
Publikováno v:
The 19th International Conference on Computer Analysis of Images and Patterns (CAIP), 2021
Speech recognition is very challenging in student learning environments that are characterized by significant cross-talk and background noise. To address this problem, we present a bilingual speech recognition system that uses an interactive video an
Externí odkaz:
http://arxiv.org/abs/2112.13463
Autor:
Hullekes, Frank, Uffing, Audrey, Verhoeff, Rucháma, Seeger, Harald, von Moos, Seraina, Mansur, Juliana, Mastroianni-Kirsztajn, Gianna, Silva, Helio Tedesco, Buxeda, Anna, Pérez-Sáez, María José, Arias-Cabrales, Carlos, Collins, A. Bernard, Swett, Christie, Morená, Leela, Loucaidou, Marina, Kousios, Andreas, Malvezzi, Paolo, Bugnazet, Mathilde, Russo, Luis Sanchez, Muhsin, Saif A., Agrawal, Nikhil, Nissaisorakarn, Pitchaphon, Patel, Het, Al Jurdi, Ayman, Akalin, Enver, Neto, Elias David, Agena, Fabiana, Ventura, Carlucci, Manfro, Roberto C., Bauer, Andrea Carla, Mazzali, Marilda, de Sousa, Marcos Vinicius, La Manna, Gaetano, Bini, Claudia, Comai, Giorgia, Reindl-Schwaighofer, Roman, Berger, Stefan, Cravedi, Paolo, Riella, Leonardo V.
Publikováno v:
In American Journal of Transplantation June 2024 24(6):1016-1026