Results 11 to 20 of about 323,104 (323)

Polynomial functors and polynomial monads [PDF]

Mathematical Proceedings of the Cambridge Philosophical Society, 2012
AbstractWe study polynomial functors over locally cartesian closed categories. After setting up the basic theory, we show how polynomial functors assemble into a double category, in fact a framed bicategory. We show that the free monad on a polynomial endofunctor is polynomial. The relationship with operads and other related notions is explored.
GAMBINO, Nicola, Kock, J.
openaire   +7 more sources

Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey, Ian H. Harding, Martin B. Delatycki, Geneieve Tai, Thiago Rezende, Louise A. Corben   +5 more
wiley   +1 more source

Eulerian polynomials and polynomial congruences [PDF]

Contributions to Discrete Mathematics, 2019
We prove that the Eulerian polynomial satisfies certain polynomial congruences. Furthermore, these congruences characterize the Eulerian polynomial.
Iijima, Kazuki, Sasaki, Kyouhei, Takahashi, Yuuki, Yoshinaga, Masahiko   +3 more
openaire   +4 more sources

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Performance analysis of control allocation using data‐driven integral quadratic constraints

Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch, Daniel Ossmann, Harald Pfifer   +2 more
wiley   +1 more source

XML security protection scheme based on Kerberos authentication and polynomials authorization

Mathematical Biosciences and Engineering, 2020
With XML becoming a promising standard for data storage, describing, transferring and exchanging information on the Internet, data security and privacy protection of XML become the focus of research in recent years.
Lihong Guo, Jian Wang, Haitao Wu , Najla Al-Nabhan   +3 more
doaj   +1 more source

Experimental and Statistical Evaluation of the Mechanical Performance of (Jute and Cocopeat) Plant and (Silk) Animal-based Hybrid Fibers Reinforced with Epoxy Polymers

Journal of Natural Fibers, 2022
In India, research on the development of new composite materials is extensively increased. In the present study, composites are developed with the renewable materials of plant and animal-based natural fibers.
Lokesh Kanchugaranahally Sriramamurthy, Bharath Kumar Shanmugam Nagarathna, Thandra Paavan Kumar, Harish Hanumanthappa, Mohanraj Thimmegowda, Shrinivasa D. Mayya, Shobharani Krishnameena Yashaswini Srivatsav, Aishwarya Brindha Kavitha Kumar   +7 more
doaj   +1 more source

Polynomial, Neural Network, and Spline Wavelet Models for Continuous Wavelet Transform of Signals

Sensors, 2021
In this paper a modified wavelet synthesis algorithm for continuous wavelet transform is proposed, allowing one to obtain a guaranteed approximation of the maternal wavelet to the sample of the analyzed signal (overlap match) and, at the same time, a ...
Andrey Stepanov
doaj   +1 more source

Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis

Sensors, 2021
Shape classification and segmentation of point cloud data are two of the most demanding tasks in photogrammetry and remote sensing applications, which aim to recognize object categories or point labels.
Ruixuan Yu, Jian Sun
doaj   +1 more source