Zobrazeno 1 - 10
of 6 242
pro vyhledávání: '"Non-convex"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 29031-29052 (2024)
Total variation (TV) regularization is a powerful tool in image denoising, but it often exhibits limited performance in preserving edges. In contrast, non-convex TV regularization can more effectively preserve edges and contours, albeit posing challe
Externí odkaz:
https://doaj.org/article/b26fdc91196b4ddbbf13b5f935e8e961
Autor:
Anton Kozyriev, Vladimir Norkin
Publikováno v:
Кібернетика та комп'ютерні технології, Iss 3, Pp 60-66 (2024)
Introduction. Lossy image compression algorithms play a crucial role in various domains, including graphics, and image processing. As image information density increases, so do the resources required for processing and transmission. One of the most p
Externí odkaz:
https://doaj.org/article/247c74d4314347f39940db58fa94e40f
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-14 (2024)
Abstract As an important part of rotating machinery, gearboxes often fail due to their complex working conditions and harsh working environment. Therefore, it is very necessary to effectively extract the fault features of the gearboxes. Gearbox fault
Externí odkaz:
https://doaj.org/article/6468ffb6364e4ccda7d339fac11e1d06
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-19 (2024)
Abstract In practice, simultaneous impact localization and time history reconstruction can hardly be achieved, due to the ill-posed and under-determined problems induced by the constrained and harsh measuring conditions. Although $$\ell_{1}$$ ℓ 1 r
Externí odkaz:
https://doaj.org/article/3da73c212f6241939e6a6f1798f24d94
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 88-93 (2024)
Amplitude error of each antenna in three-element array is an important factor affecting the angle simulation precision, which is a key index in radio frequency simulation system (RFSS). Analyzing the relationship between angle simulation error and am
Externí odkaz:
https://doaj.org/article/aaa408a090194e8682d985a321e87591
Publikováno v:
Electronic Research Archive, Vol 32, Iss 5, Pp 3433-3456 (2024)
The acquisition time of magnetic resonance imaging (MRI) is relatively long. To achieve high-quality and fast reconstruction of magnetic resonance (MR) images, we proposed a non-convex regularization model for MR image reconstruction with the modifie
Externí odkaz:
https://doaj.org/article/05881b0a30ee46bbbb5d2281ee3ffb66
Publikováno v:
Radioengineering, Vol 33, Iss 1, Pp 54-61 (2024)
Compressed Sensing (CS) has been shown to be an effective technique for improving the resolution of inverse synthetic aperture radar (ISAR) imaging and reducing the hardware requirements of radar systems. In this paper, our focus is on the l_p 0 p 1
Externí odkaz:
https://doaj.org/article/173894bc474b42aab419bda4d045c149
Publikováno v:
Mathematics Interdisciplinary Research, Vol 9, Iss 1, Pp 1-22 (2024)
We present an enhanced approach to solving the combined non-linear time-dependent Burgers-Fisher equation, which is widely used in mathematical biology and has a broad range of applications. Our proposed method employs a modified versi
Externí odkaz:
https://doaj.org/article/1b2c87782054469c908dd527f8c58f8e
Autor:
Ali S. Alghamdi, Mohamed A. Zohdy
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31755- (2024)
This paper presents a novel approach, the Gaussian Mixture Method-enhanced Cuckoo Optimization Algorithm (GMMCOA), designed to optimize power flow decision parameters, with a specific focus on minimizing fuel cost, emissions, network loss, and voltag
Externí odkaz:
https://doaj.org/article/0d3e3ee2a8ee45b8946e15f033ba58f1
Autor:
Nabou, Yassine, Necoara, Ion
Publikováno v:
Computational Optimization and Applications, 2023
Composite minimization involves a collection of functions which are aggregated in a nonsmooth manner. It covers, as a particular case, smooth approximation of minimax games, minimization of max-type functions, and simple composite minimization proble
Externí odkaz:
http://arxiv.org/abs/2203.13367
