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of 23 365
pro vyhledávání: '"Multi-block"'
In this work, we introduce MOLA: a Multi-block Orthogonal Long short-term memory Autoencoder paradigm, to conduct accurate, reliable fault detection of industrial processes. To achieve this, MOLA effectively extracts dynamic orthogonal features by in
Externí odkaz:
http://arxiv.org/abs/2410.07508
In recent years, a distributed Douglas-Rachford splitting method (DDRSM) has been proposed to tackle multi-block separable convex optimization problems. This algorithm offers relatively easier subproblems and greater efficiency for large-scale proble
Externí odkaz:
http://arxiv.org/abs/2411.11486
Deep learning models, specifically convolutional neural networks, have transformed the landscape of image classification by autonomously extracting features directly from raw pixel data. This article introduces an innovative image classification mode
Externí odkaz:
http://arxiv.org/abs/2412.13703
Affine Frequency Division Multiplexing (AFDM) is considered as a promising solution for next-generation wireless systems due to its satisfactory performance in high-mobility scenarios. By adjusting AFDM parameters to match the multi-path delay and Do
Externí odkaz:
http://arxiv.org/abs/2410.11421
Learning to Optimize (L2O) approaches, including algorithm unrolling, plug-and-play methods, and hyperparameter learning, have garnered significant attention and have been successfully applied to the Alternating Direction Method of Multipliers (ADMM)
Externí odkaz:
http://arxiv.org/abs/2409.17320
Multi-block chemometric approaches to the unsupervised spectral classification of geological samples
In this paper, the potential use of multi-block chemometric methods to provide improved unsupervised classification of compositionally complex materials through the integration of multi-modal spectrometric data sets (one XRF, two NIR, and two FT-Rama
Externí odkaz:
http://arxiv.org/abs/2409.04466
We examine stability properties of primal-dual gradient flow dynamics for composite convex optimization problems with multiple, possibly nonsmooth, terms in the objective function under the generalized consensus constraint. The proposed dynamics are
Externí odkaz:
http://arxiv.org/abs/2408.15969
Autor:
Haouassi, Mustapha1,2 (AUTHOR), Kergosien, Yannick2 (AUTHOR) yannick.kergosien@univ-tours.fr, Mendoza, Jorge E.3 (AUTHOR), Rousseau, Louis-Martin1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Jul2024, p1-22. 22p. 11 Illustrations.
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