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pro vyhledávání: '"Daniela-Maria Cristea"'
Autor:
Daniela Maria Cristea
Publikováno v:
Romanian Archives of Microbiology and Immunology. 81:27-31
"Introduction: Shiga toxin-producing Escherichia coli (STEC) can cause severe human infections especially in the pediatric population who are at risk of progressing to life threatening systemic complications such as hemolytic uremic syndrome (HUS). I
Publikováno v:
Acta Universitatis Sapientiae: Informatica, Vol 12, Iss 1, Pp 22-38 (2020)
Formal concept analysis (FCA) is a method based on lattice theory, widely used for data visualization, data analysis and knowledge discovery. Amino acids (AAs) are chemical molecules that constitute the proteins. In this paper is presented a new and
Autor:
Daniela-Maria Cristea, Ioan Sima
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030866525
ICCSA (1)
ICCSA (1)
The biomolecules structure prediction problem (BSP) - especially the protein structure prediction (PSP) and the nucleic acids structure prediction - was introduced in the computational biology field approximately 45–50 years ago. The PSP on hydroph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aef25c3417706574491247bf1d5bcfa
https://doi.org/10.1007/978-3-030-86653-2_33
https://doi.org/10.1007/978-3-030-86653-2_33
Publikováno v:
SACI
The adaptability and competitiveness of neural networks has been the focus of much research. The most popular applications of neural networks are in classic games like 2D chess. The focus of this paper is to study the adaptability of a neural network
Publikováno v:
ICGDA
The increasing need for ontologies with practical results and the difficulties of manual construction guide us towards methods that propose automatic and semi-automated techniques for creating ontologies. The article presents a conceptual method for