Results 81 to 90 of about 1,059,315 (385)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Optimization of protein removal process of Lonicera japonica polysaccharide and its immunomodulatory mechanism in cyclophosphamide‐induced mice by metabolomics and network pharmacology

open access: yesFood Science &Nutrition, Volume 11, Issue 1, Page 364-378, January 2023., 2023
In this paper, the best protein removal method of Lonicera japonica polysaccharide was determined and its process was optimized by response surface method. Pharmacological experiments showed that polysaccharides had therapeutic effect on immunodeficiency mice induced by cyclophosphamide (CTX).
Jie Ding   +7 more
wiley   +1 more source

Curvilinearity and Orthogonality [PDF]

open access: yesarXiv, 2022
We introduce sequences of functions orthogonal on a finite interval: proper orthogonal rational functions, orthogonal exponential functions, orthogonal logarithmic functions, and transmuted orthogonal ...
arxiv  

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

Orthogonal and multiple orthogonal polynomials, random matrices, and Painlevé equations [PDF]

open access: yesin "Orthogonal Polynomials" (M. Foupouagnigni, W. Koepf, eds), Tutorials, Schools and Workshops in the Mathematical Sciences, Springer Nature Switzerland, 2020, pp. 629-683, 2019
Orthogonal polynomials and multiple orthogonal polynomials are interesting special functions because there is a beautiful theory for them, with many examples and useful applications in mathematical physics, numerical analysis, statistics and probability and many other disciplines.
arxiv   +1 more source

One-parameter extension of the Doi-Peliti formalism and relation with orthogonal polynomials [PDF]

open access: yes, 2012
An extension of the Doi-Peliti formalism for stochastic chemical kinetics is proposed. Using the extension, path-integral expressions consistent with previous studies are obtained.
C. W. Gardiner   +4 more
core   +2 more sources

Strong Asymptotics of the Orthogonal Polynomials with Respect to a Measure Supported on the Plane [PDF]

open access: yes, 2012
We consider the orthogonal polynomials { Pn(z) } with respect to the measure | z−a |2Nce−N| z |2dA(z) over the whole complex plane. We obtain the strong asymptotic of the orthogonal polynomials in the complex plane and the location of their zeros in a ...
F. Balogh   +3 more
semanticscholar   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

The Spectral Connection Matrix for Any Change of Basis within the Classical Real Orthogonal Polynomials

open access: yesMathematics, 2015
The connection problem for orthogonal polynomials is, given a polynomial expressed in the basis of one set of orthogonal polynomials, computing the coefficients with respect to a different set of orthogonal polynomials.
Tom Bella, Jenna Reis
doaj   +1 more source

Orthogonal Polynomials of Several Variables: Preface to the Second Edition

open access: yes, 2014
Preface to the second edition Preface to the first edition 1. Background 2. Orthogonal polynomials in two variables 3. General properties of orthogonal polynomials in several variables 4. Orthogonal polynomials on the unit sphere 5.
C. Dunkl, Yuan Xu
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy