Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Plamen Parvanov"'
Publikováno v:
Folia Medica, Vol 65, Iss 2, Pp 331-335 (2023)
Cardiac luxation is a rare condition in cases of blunt thoracic trauma, yet it is quite fatal. We present a case of a 28-year-old man, admitted to the emergency room after a motorcycle accident in a hemodynamically unstable condition and radiographic
Externí odkaz:
https://doaj.org/article/5980a87446434cbfadd8ad038b63ce44
Autor:
Bezerra, Clauber Gomes, Costa, Bruno Sielly Jales, Guedes, Luiz Affonso, Angelov, Plamen Parvanov
Publikováno v:
In Information Sciences May 2020 518:13-28
Autor:
Bezerra, Clauber Gomes, Costa, Bruno Sielly Jales, Guedes, Luiz Affonso, Angelov, Plamen Parvanov
Publikováno v:
In Expert Systems With Applications 30 November 2016 63:134-144
Publikováno v:
In Neurocomputing 20 February 2015 150 Part A:289-303
Autor:
Plamen Parvanov Angelov
Publikováno v:
Handbook on Computer Learning and Intelligence ISBN: 9789811246074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c6d416b7fabbb725c7a65547b33e4cf
https://doi.org/10.1142/12498-vol2
https://doi.org/10.1142/12498-vol2
Autor:
Plamen Parvanov Angelov
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five
This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characteriz
Autor:
Angelov, Plamen Parvanov, Gu, Xiaowei
In this paper, we introduce a new form of describing fuzzy sets (FSs) and a new form of fuzzy rule-based (FRB) systems, namely, empirical fuzzy sets (εFSs) and empirical fuzzy rule-based (εFRB) systems. Traditionally, the membership functions (MFs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______201::5e873558657b33f90125a7c7f162f545
https://doi.org/10.1002/int.21935
https://doi.org/10.1002/int.21935
In this paper, we propose an approach to data analysis, which is based entirely on the empirical observations of discrete data samples and the relative proximity of these points in the data space. At the core of the proposed new approach is the typic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______201::4bfb33d8a661ec1c280926afd61a7751
https://doi.org/10.1002/int.21899
https://doi.org/10.1002/int.21899