Zobrazeno 1 - 5
of 5
pro vyhledávání: '"A Kh, Nishanov"'
Autor:
Akhram Kh. Nishanov, Gulomjon P. Juraev, Malika A. Khasanova, Fazilbek M. Zaripov, Saidqul X. Saparov
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031237430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51d9512bff2c9c1a260a2f7eda51d85b
https://doi.org/10.1007/978-3-031-23744-7_12
https://doi.org/10.1007/978-3-031-23744-7_12
Publikováno v:
2020 International Conference on Information Science and Communications Technologies (ICISCT).
In this paper the issues like preprocessing of ischemic heart disease data and optimization of feature space are discussed and solved. Here an algorithm for selection a set of information features based on classification error are proposed. Using thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5545321a342fe281fc8e5a5bd5c7cdb
https://doi.org/10.1109/icisct50599.2020.9351481
https://doi.org/10.1109/icisct50599.2020.9351481
Autor:
O. B. Ruzibaev, Kyandoghere Kyamakya, M.A. Khasanova, A. Kh. Nishanov, Perumadura De Silva, Kolli Abhiram, G.P. Djurayev, Jean Chamberlain Chedjou
Publikováno v:
Developments of Artificial Intelligence Technologies in Computation and Robotics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5936ecbf1beba53c6d3d21aaa2658a68
https://doi.org/10.1142/9789811223334_0078
https://doi.org/10.1142/9789811223334_0078
Publikováno v:
Meditsinskaia tekhnika. (4)
The paper deals with a new method for recognizing images, which is based on the use of deciding rules to classify a difficult area of diagnosis of eye abnormalities.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::203ce46b471979f804e163f5881557c0
https://pubmed.ncbi.nlm.nih.gov/10464756
https://pubmed.ncbi.nlm.nih.gov/10464756
Publikováno v:
Biomedical Engineering. 33:178-179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2371a43053f58aea2c34866614985009
https://doi.org/10.1007/bf02385337
https://doi.org/10.1007/bf02385337