Results 71 to 80 of about 1,666 (170)
Engineering Reports, Volume 8, Issue 6, June 2026.Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley +1 more source
3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor
Laser &Photonics Reviews, Volume 20, Issue 12, 18 June 2026.Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang +13 more
wiley +1 more source
Clifford algebras and Littlewood-Richardson coefficients [PDF]
We show how to use Clifford algebra techniques to describe the de Rham cohomology ring of equal rank compact symmetric spaces $G/K$. In particular, for $G/K=U(n)/U(k)\times U(n-k)$, we obtain a new way of multiplying Schur polynomials, i.e., computing ...
Calvert, Kieran +3 more
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Inequalities for the Perron root related to Levinger's theorem
, 2020 For the Perron roots of square nonnegative matrices A,B, and A + D-1BTD, where D is a diagonal matrix with positive diagonal entries, the inequality ρ(A + D-1BTD) ≥ ρ(A) + ρ(B) is proved under the assumption that A and B have a common unordered pair of ...
Kolotilina L., Alpin Y.
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NMR in Biomedicine, Volume 39, Issue 6, June 2026.We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
On the Computation of Tensor Functions under Tensor‐Tensor Multiplications with Linear Maps
Numerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.ABSTRACT In this paper, we study the computation of both algebraic and non‐algebraic tensor functions under the tensor‐tensor multiplication with linear maps. In the case of algebraic tensor functions, we prove that the asymptotic exponent of both the tensor‐tensor multiplication and the tensor polynomial evaluation problem under this multiplication is
Jeong‐Hoon Ju, Susana López‐Moreno
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Essays on the Dynamics of Latvian Exchange Rates
, 2005 PhDThe thesis examines empirically the sustainability of the Latvian lats' peg to SDR. It aims at identifying fundamental and non-fundamentals risk factors, and the changing structure of the risks that have been instrumental in inducing exchange rate ...
Kazaks, Martins
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Approach for Damage‐Free Disassembly of Highly Stressed CFRP Structures
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT In today's pursuit of sustainability, the aviation industry faces challenges in reusing materials and structural components made from carbon fiber‐reinforced polymer (CFRP). Conventional downcycling methods degrade CFRP's structural integrity by cutting load‐bearing fibers and embedding them in new matrices, reducing performance.
Janko Kreikemeier +3 more
wiley +1 more source
Spectral Methods for Boolean and Multiple-Valued Input Logic Functions
, 1991 Spectral techniques in digital logic design have been known for more than thirty years. They have been used for Boolean function classification, disjoint decomposition, parallel and serial linear decomposition, spectral translation synthesis (extraction ...
Falkowski, Bogdan Jaroslaw
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Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT Nanoporous gold, with its hierarchical structure comprising interconnected networks on multiple length scales, poses significant computational challenges for traditional modeling methods. To solve this challenge, this study introduces a physics‐informed recurrent neural network (RNN) to model the homogenized material response of a diamond beam‐
Lena Dyckhoff, Norbert Huber
wiley +1 more source