Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Jorge E. Pezoa"'
Autor:
Jorge E. Pezoa, Diego A. Ramírez, Cristofher A. Godoy, María F. Saavedra, Silvia E. Restrepo, Pablo A. Coelho-Caro, Christopher A. Flores, Francisco G. Pérez, Sergio N. Torres, Mauricio A. Urbina
Publikováno v:
Sensors, Vol 23, Iss 21, p 8909 (2023)
Fishing has provided mankind with a protein-rich source of food and labor, allowing for the development of an important industry, which has led to the overexploitation of most targeted fish species. The sustainable management of these natural resourc
Externí odkaz:
https://doaj.org/article/f648bda16e0e4e79834d0c957807f13f
Autor:
Vincenzo Caro Fuentes, Ariel Torres, Danny Luarte, Jorge E. Pezoa, Sebastián E. Godoy, Sergio N. Torres, Mauricio A. Urbina
Publikováno v:
Sensors, Vol 23, Iss 19, p 8163 (2023)
Fishing landings in Chile are inspected to control fisheries that are subject to catch quotas. The control process is not easy since the volumes extracted are large and the numbers of landings and artisan shipowners are high. Moreover, the number of
Externí odkaz:
https://doaj.org/article/5812fd2258d94faab8ae93da82a1a4f4
Autor:
Felipe I. Lamas, Jorge E. Pezoa, Sebastian E. Godoy, Gabriel A. Saavedra, Sergio N. Torres, Gonzalo A. Montalva, Weixiao Meng
Publikováno v:
IEEE Access, Vol 10, Pp 117399-117410 (2022)
This paper proposes crowd estimation technology to help authorities make the right decisions in times of crisis. Specifically, deep learning models have faced these challenges, achieving excellent results. In particular, the trend of using single-col
Externí odkaz:
https://doaj.org/article/175d9318eefc455c8bdcc2aa8d4fb6d8
Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration
Publikováno v:
IEEE Access, Vol 10, Pp 111153-111170 (2022)
Network reliability has become an important concern to network administrators and service providers, and is prominently considered in network design. Particularly, 0-day vulnerabilities are an increasing threat to software-based networking systems. W
Externí odkaz:
https://doaj.org/article/8951acc3b2db4813bef84555ce268017
Publikováno v:
IEEE Access, Vol 9, Pp 38767-38777 (2021)
Biomedical text classification algorithms, which currently support clinical decision-making processes, call for expensive training texts due to the low availability of labeled corpus and the cost of manual annotation by specialized professionals. The
Externí odkaz:
https://doaj.org/article/4360ab3ce6894d639c0ccf0c326fe88f
Publikováno v:
IEEE Access, Vol 9, Pp 97747-97759 (2021)
A recurrent problem currently affecting network reliability is the simultaneous exploitation of 0-day vulnerabilities shared between several node implementations across the network. When such 0-day vulnerabilities are exploited, large portions of the
Externí odkaz:
https://doaj.org/article/50ebd1e063f249e9b53c0e42c5cf0b61
Publikováno v:
IEEE Access, Vol 8, Pp 29270-29280 (2020)
High accuracy text classifiers are used nowadays in organizing large amounts of biomedical information and supporting clinical decision-making processes. In medical informatics, regular expression-based classifiers have emerged as an alternative to t
Externí odkaz:
https://doaj.org/article/ec7b9e1fca964e9eba4b39c1c3781981
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2256 (2019)
Current data networks are highly homogeneous because of management, economic, and interoperability reasons. This technological homogeneity introduces shared risks, where correlated failures may entirely disrupt the network operation and impair multip
Externí odkaz:
https://doaj.org/article/27f99de1c0384c53ba51c3e61ea1d48f
Publikováno v:
Sensors, Vol 16, Iss 7, p 1121 (2016)
Images rendered by uncooled microbolometer-based infrared (IR) cameras are severely degraded by the spatial non-uniformity (NU) noise. The NU noise imposes a fixed-pattern over the true images, and the intensity of the pattern changes with time due t
Externí odkaz:
https://doaj.org/article/637b90a7d6074ac29d37df6c2bf24075
Autor:
Felipe Lamas, Jorge E. Pezoa, Gabriel Saavedra, Sebastián E. Godoy, Sergio N. Torres, Gonzalo A. Montalva, Weixiao Meng
Publikováno v:
SPIE Future Sensing Technologies 2023.