Results 101 to 110 of about 975 (221)

Про належність адамарових композиціи похідних рядів Діріхле до класів збіжності

open access: yes, 2013
Адамаровою композицією рядів Діріхле називається ряд Діріхле. Досліджено належність адамарової композиції похідних і похідної адамарової композиції до певного класу збіжності.
Мулява, Оксана Мирославівна
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Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

open access: yesEngineering 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

Supervisory Control of (max,+) Automata: A Single Step Approach

open access: yes, 2009
Control of (max,+) automata is studied within a behavioral framework. The classical tensor product of their linear representations and its generalized version extends the parallel composition of logical automata to (max,+) automata. In terms of behaviors
J. Komenda, S. Lahaye, J.L. Boimond
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3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor

open access: yesLaser &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

Finite‐Time Disturbance Observer‐Based Nonlinear Robust Adaptive Control of Hydraulic Manipulator With Parameter Identification

open access: yesInternational Journal of Mechanical System Dynamics, Volume 6, Issue 2, Page 282-298, June 2026.
ABSTRACT Hydraulic manipulators exhibit strong coupling, pronounced nonlinearities, and significant modeling uncertainties, which hinder high‐precision motion control. This paper proposes a finite‐time disturbance observer–based nonlinear robust adaptive control (RAC‐FTDO) framework enhanced by a physically consistent dynamic parameter identification ...
Tianyu Gao   +3 more
wiley   +1 more source

Energy-rich phosphates in slow and fast human skeletal muscle

open access: yes, 1995
We investigated the relationship between energy-rich phosphate content and muscle fiber-type composition in human skeletal muscle using a combination of 31P-nuclear magnetic resonance spectroscopy (NMR), histochemical, and biochemical analyses of muscle
K. De Meirleir   +7 more
core   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

open access: yesNMR 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

Algebraic design theory

open access: yes, 2011
Combinatorial design theory is a source of simply stated, concrete, yet difficult discrete problems, with the Hadamard conjecture being a prime example. It has become clear that many of these problems are essentially algebraic in nature.
Flannery, Dane   +3 more
core   +1 more source

On the Computation of Tensor Functions under Tensor‐Tensor Multiplications with Linear Maps

open access: yesNumerical 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
wiley   +1 more source

Index to The Rice Institute Pamphlet, Volume Thirty-One Issue No. 4, October 1944: Dirichlet series

open access: yes, 1944
Lectures delivered at the Rice Institute during the academic year 1942-43 by S. Mandelbrojt, Docteur es Sciences (Paris), Professor at the College de France, Visiting Professor of Mathematics at the Rice InstituteI.
Mandelbrojt, Szolem, 1899-
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