Effect on three-dimensional collective cell organization of minimal curvature surfaces. [PDF]
Flores-Jimenez MS +3 more
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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]
Papillon M +10 more
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Massive Atomic Diversity: a compact universal dataset for atomistic machine learning. [PDF]
Mazitov A +6 more
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Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification. [PDF]
Wu L, Wang H.
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SAKURA: a knowledge-guided approach to recovering important, rare signals from single-cell data. [PDF]
Zhang Z +6 more
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SEMI-PARALLEL TENSOR PRODUCT SURFACES IN SEMI-EUCLIDEAN SPACE E4
In this article, the tensor product surfaces are studied that arisefrom taking the tensor product of a unit circle centered at the origin in Euclidean plane E2and a non-null, unit planar curve in Lorentzian plane E1. Also wehave shown that the tensor product surfaces in 4-dimensional semi-Euclideanspace with index 2; E4;satisfying the semi-parallelity ...
Yıldırım, Mehmet, İlarslan, Kazım
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The effects of task similarity during representation learning in brains and neural networks. [PDF]
Menghi N +6 more
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Ricci curvature bounds and rigidity for non-smooth Riemannian and semi-Riemannian metrics. [PDF]
Kunzinger M, Ohanyan A, Vardabasso A.
europepmc +1 more source
Machine learning-driven analysis of feed additives and intestinal microbiota diversity in broiler chickens: Clustering of mineral profiles and predictive diet modeling. [PDF]
Grishina LS +6 more
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Semi-parallel tensor product surfaces in semi-Euclidean space E24
In this article, the tensor product surfaces are studied that arise from taking the tensor product of a unit circle centered at the origin in Euclidean plane E-2 and a non-null, unit planar curve in Lorentzian plane E-1(2). Also we have shown that the tensor product surfaces in 4-dimensional semi-Euclidean space with index 2, E-2(4), satisfying the ...
Yıldırım, Mehmet, İlarslan, Kazım
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