Results 261 to 270 of about 310,012 (309)
An intelligent framework for advancing large-scale omics data integration. [PDF]
Cui M +12 more
europepmc +1 more source
ConvGeM-next: a deep learning framework for plant disease detection. [PDF]
Arshad Z, Javed A, Saudagar AKJ.
europepmc +1 more source
AssiST: convolutional neural network for analysis of antibiotic susceptibility testing. [PDF]
Li C, Schock S, Costa A, Mitchell A.
europepmc +1 more source
Building novel LLM-enabled explainable ensemble transformer models combining endoscopic and CT images for discriminating the different grades of gastrointestinal cancers. [PDF]
Algarni A +6 more
europepmc +1 more source
Solution classes of the matrix second Painlevé hierarchy
We explore the generation of classes of solutions of the matrix second Painlevé hierarchy. This involves the consideration of the application of compositions of auto-Bäcklund transformations to different initial solutions, with the number of distinct ...
P R Gordoa +2 more
exaly +3 more sources
Symmetry Classes and Matrix Representations of the 2D Flexoelectric Law
International audienceWe determine the different symmetry classes of bi-dimensional flexoelectric tensors. Using the harmonic decomposition method, we show that there are six symmetry classes.
N Auffray
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Matrix completion problems for pairs of related classes of matrices
For a class X of real matrices, a list of positions in an n×n matrix (a pattern) is said to have X-completion if every partial X-matrix that specifies exactly these positions can be completed to an X-matrix.
Leslie Hogben
exaly +3 more sources
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On Some Class of Formal Matrix Ring
Lobachevskii Journal of Mathematics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nasrutdinov, M. F., Tronin, S. N.
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On a Class of Matrix Completion Problems
Mathematische Nachrichten, 1989The paper contains a unified treatment of special classes of matrix extension problems (``Schur analysis''). It is characterized as a combination of methods developed by V. P. Potapov and his collaborators in the study of the so-called fundamental matrix inequalities and of methods used by the last two authors.
Dubovoj, Vladimir K. +2 more
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