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OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study. [PDF]
Proc Natl Acad Sci U S AZhu Z +23 more
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Novel extensions of k-harmonically convex functions and their applications in information science. [PDF]
PLoS OneFahad A, Furuichi S, Ali Z, Wang Y.
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Deterministic and fractional-order modeling of measles dynamics with harmonic mean incidence rate and quarantine impact. [PDF]
Sci RepKhan R +4 more
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Synthesis Lectures on Mathematics & Statistics, 2019
The training guide is devoted to the presentation of the foundations of discrete mathematics. The main sections are presented: theories of sets, mathematical logic, relations, formal systems, algorithms, algebras, combinatorics, graphs, fractal sets ...
A. Brini, A. Teolis
semanticscholar +1 more source
The training guide is devoted to the presentation of the foundations of discrete mathematics. The main sections are presented: theories of sets, mathematical logic, relations, formal systems, algorithms, algebras, combinatorics, graphs, fractal sets ...
A. Brini, A. Teolis
semanticscholar +1 more source
Review of Educational Research, 2019
The purpose of this meta-analysis was to examine the relation between mathematics anxiety (MA) and mathematics performance among school-aged students, and to identify potential moderators and underlying mechanisms of such relation, including grade level,
Jessica M. Namkung, Peng Peng, Xin Lin
semanticscholar +1 more source
The purpose of this meta-analysis was to examine the relation between mathematics anxiety (MA) and mathematics performance among school-aged students, and to identify potential moderators and underlying mechanisms of such relation, including grade level,
Jessica M. Namkung, Peng Peng, Xin Lin
semanticscholar +1 more source
Oxford Scholarship Online, 2018
An introduction to the mathematical tools used in the study of networks. Topics discussed include: the adjacency matrix; weighted, directed, acyclic, and bipartite networks; multilayer and dynamic networks; trees; planar networks.
M. Newman
semanticscholar +1 more source
An introduction to the mathematical tools used in the study of networks. Topics discussed include: the adjacency matrix; weighted, directed, acyclic, and bipartite networks; multilayer and dynamic networks; trees; planar networks.
M. Newman
semanticscholar +1 more source