Showing 121 - 140 results of 12,457 for search '(coevolutionary OR convolutional)', query time: 0.11s Refine Results
  1. 121
  2. 122

    Estimates of convolutions of certain number-theoretic error terms by Aleksandar Ivic

    Published 2004-01-01
    “…Several estimates for the convolution function C [f(x)]:=∫1xf(y) f(x/y)(dy/y) and its iterates are obtained when f(x) is a suitable number-theoretic error term. …”
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  3. 123

    Convolutional neural networks for accurate estimation of canopy cover by F. Puig, R. Gonzalez Perea, A. Daccache, M.A. Soriano, J.A. Rodríguez Díaz

    Published 2025-03-01
    “…In this study, we present a breakthrough in solving this challenge by developing a Convolutional Neural Network (CNN) designed to compute CC autonomously. …”
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  4. 124

    An approximation method for convolution curves of regular curves and ellipses by Young Joon Ahn

    Published 2024-12-01
    Subjects: “…convolution approximation…”
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  5. 125

    An Over-the-Air Multi-User Convolutional Code for URLLC by Rafael Santos, Daniel Castanheira, Adao Silva, Atilio Gameiro

    Published 2025-01-01
    “…These applications typically involve the exchange of small information blocks. Convolutional codes (CC) exhibit near-optimal performance when encoding short blocks. …”
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  6. 126

    Convolutional kernel-based classification of industrial alarm floods by Gianluca Manca, Alexander Fay

    Published 2024-01-01
    “…In the transformation stage, alarm floods are subjected to an ensemble of convolutional kernel-based transformations (MultiRocket) to extract their characteristic dynamic properties, which are then fed into the classification stage, where a linear ridge regression classifier ensemble is used to identify recurring alarm floods. …”
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    Lip Print Recognition Algorithm Based on Convolutional Network by Hongcheng Zhou

    Published 2023-01-01
    “…In order to solve the complex image preprocessing problems, difficult feature extraction by artificial design algorithm, and low accuracy of lip print recognition, a method based on the convolutional neural network is proposed, by building a convolutional neural network called LPRNet (Lip Print Recognition Network). …”
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  10. 130

    On Integral Operator Defined by Convolution Involving Hybergeometric Functions by K. Al-Shaqsi, M. Darus

    Published 2008-01-01
    “…For λ>−1 and μ≥0, we consider a liner operator Iλμ on the class 𝒜 of analytic functions in the unit disk defined by the convolution (fμ)(−1)∗f(z), where fμ=(1−μ)z2F1(a,b,c;z)+μz(z2F1(a,b,c;z))', and introduce a certain new subclass of 𝒜 using this operator. …”
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  11. 131

    Estimates for convolutions in the anisotropic Nikol'skiĭ-Besov spaces by V. I. Burenkov, G. E. García Almeida

    Published 2003-01-01
    “…We obtain various estimates for convolutions in the anisotropic Nikol'skiĭ-Besov spaces of functions of several real variables possessing some common smoothness of, in general, fractional order which may be different with respect to different variables.…”
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  12. 132

    Convolutional neural networks and vision transformers for Plankton Classification by Loris Nanni, Alessandra Lumini, Leonardo Barcellona, Stefano Ghidoni

    Published 2025-12-01
    “…The study considers the creation of ensembles combining different Convolutional Neural Network (CNN) models and transformer architectures to understand whether different optimization algorithms can result in more robust and efficient classification across various plankton datasets. …”
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    Target Tracking via Particle Filter and Convolutional Network by Hongxia Chu, Kejun Wang, Xianglei Xing

    Published 2018-01-01
    “…The extracted feature from convolution network is introduced into particle filter algorithm. …”
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    Diffraction-Based Overlay Metrology With Optical Convolution Layer by Jinyang Li, Hung-Fei Kuo

    Published 2023-01-01
    Subjects: “…Convolution neural network (CNN)…”
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  19. 139
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    Convolution Representation of Traveling Pulses in Reaction-Diffusion Systems by Satoshi Kawaguchi

    Published 2023-01-01
    “…Convolution representation manifests itself as an important tool in the reduction of partial differential equations. …”
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