Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Enrique J. Carmona"'
Autor:
Federico Castejon, Enrique J. Carmona
Publikováno v:
IEEE Access, Vol 8, Pp 137275-137292 (2020)
We present a new approach based on grammatical evolution (GE) aimed at addressing the analog electronic circuit design problem. In the new approach, called multi-grammatical evolution (MGE), a chromosome is a variable-length codon string that is divi
Externí odkaz:
https://doaj.org/article/31d86c78d40f4843a50e2696bf2cfc1a
Publikováno v:
IEEE Access, Vol 8, Pp 152223-152238 (2020)
The Foveal Avascular Zone (FAZ) is a capillary-free area that is placed inside the macula and its morphology and size represent important biomarkers to detect different ocular pathologies such as diabetic retinopathy, impaired vision or retinal vein
Externí odkaz:
https://doaj.org/article/648102f5738945aba55e6332b30bd417
Publikováno v:
Neural Computing and Applications.
There are different retinal vascular imaging modalities widely used in clinical practice to diagnose different retinal pathologies. The joint analysis of these multimodal images is of increasing interest since each of them provides common and complem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11d16a25b2dc0a403de9fbaea540f8f5
https://doi.org/10.1007/s00521-023-08454-8
https://doi.org/10.1007/s00521-023-08454-8
Publikováno v:
Neural Computing and Applications. 33:1903-1921
In this work, we present a new methodology to simultaneously segment anatomical structures in medical images. Additionally, this methodology is instantiated in a method that is used to simultaneously segment the optic disc (OD) and fovea in retinal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9603129889dd8e486816e7575e97f6a6
https://doi.org/10.1007/s00521-020-05060-w
https://doi.org/10.1007/s00521-020-05060-w
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
instname
[Abstract] Optical coherence tomography angiography (OCTA) and fluorescein angiography (FA) are two different vascular imaging modalities widely used in clinical practice to diagnose and grade different relevant retinal pathologies. Although each of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3adf887b6206b6922da784ca133a181
https://hdl.handle.net/2183/28430
https://hdl.handle.net/2183/28430
Autor:
Enrique J. Carmona, Federico Castejon
Publikováno v:
Applied Soft Computing. 62:1003-1018
A new approach for automatic synthesis of analog electronic circuits based on grammatical evolution is presented. Grammatical evolution is an evolutionary algorithm based on grammar which can generate code in any programming language and uses variabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61599f9c222b796001a1492a55832d77
https://doi.org/10.1016/j.asoc.2017.09.036
https://doi.org/10.1016/j.asoc.2017.09.036
Autor:
Jose M. Chaquet, Enrique J. Carmona
Publikováno v:
Soft Computing. 23:1643-1666
A novel mesh-free heuristic method for solving differential equations is proposed. The new approach can cope with linear, nonlinear, and partial differential equations (DE), and systems of DEs. Candidate solutions are expressed using a linear combina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e163e3e87d4b805acd73af66705580c
https://doi.org/10.1007/s00500-017-2888-9
https://doi.org/10.1007/s00500-017-2888-9
La computación evolutiva puede mejorar su vida y la del resto de personas. ¿Quiere saber cómo? Adéntrese en este libro y descubra la computación evolutiva, una rama de la inteligencia artificial formada por una familia de algoritmos de optimizac
Publikováno v:
DSD
In this paper the placement cost function in Field-Programmable Gate-Arrays (FPGAs) is investigated. It is found that the minimization of the traditional cost function does not ensure the minimization of the critical path. This opens an opportunity t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c178ceea0cd017ad90d799ffb0999577
https://doi.org/10.1109/dsd.2018.00026
https://doi.org/10.1109/dsd.2018.00026
Publikováno v:
Computer methods and programs in biomedicine. 149
Background and objective: The anatomical structure detection in retinal images is an open problem. However, most of the works in the related literature are oriented to the detection of each structure individually or assume the previous detection of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::816c1393c9b7dd77bcbd82b87d7d7cfc
https://pubmed.ncbi.nlm.nih.gov/28802330
https://pubmed.ncbi.nlm.nih.gov/28802330