109 related articles for article (PubMed ID: 36298935)
1. High-performance mode decomposition using physics- and data-driven deep learning.
Tian Z; Pei L; Wang J; Hu K; Xu W; Zheng J; Li J; Ning T
Opt Express; 2022 Oct; 30(22):39932-39945. PubMed ID: 36298935
[TBL] [Abstract][Full Text] [Related]
2. Learning to decompose the modes in few-mode fibers with deep convolutional neural network.
An Y; Huang L; Li J; Leng J; Yang L; Zhou P
Opt Express; 2019 Apr; 27(7):10127-10137. PubMed ID: 31045158
[TBL] [Abstract][Full Text] [Related]
3. Fast modal analysis for Hermite-Gaussian beams via deep learning.
An Y; Hou T; Li J; Huang L; Leng J; Yang L; Zhou P
Appl Opt; 2020 Mar; 59(7):1954-1959. PubMed ID: 32225712
[TBL] [Abstract][Full Text] [Related]
4. Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems.
Meinders MBJ; Yang J; Linden EV
Sci Rep; 2024 Jul; 14(1):15015. PubMed ID: 38951589
[TBL] [Abstract][Full Text] [Related]
5. Deep-learning-based direct inversion for material decomposition.
Gong H; Tao S; Rajendran K; Zhou W; McCollough CH; Leng S
Med Phys; 2020 Dec; 47(12):6294-6309. PubMed ID: 33020942
[TBL] [Abstract][Full Text] [Related]
6. Fast and stable deep-learning predictions of material properties for solid solution alloys.
Lupo Pasini M; Li YW; Yin J; Zhang J; Barros K; Eisenbach M
J Phys Condens Matter; 2021 Feb; 33(8):084005. PubMed ID: 33202401
[TBL] [Abstract][Full Text] [Related]
7. Spatial domain decomposition-based physics-informed neural networks for practical acoustic propagation estimation under ocean dynamics.
Duan J; Zhao H; Song J
J Acoust Soc Am; 2024 May; 155(5):3306-3321. PubMed ID: 38752840
[TBL] [Abstract][Full Text] [Related]
8. Modal decomposition of an incoherent combined laser beam based on the combination of residual networks and a stochastic parallel gradient descent algorithm.
Chen F
Appl Opt; 2022 May; 61(14):4120-4131. PubMed ID: 36256088
[TBL] [Abstract][Full Text] [Related]
9. CNN-based few-mode fiber modal decomposition method using digital holography.
Zhu ZH; Xiao YY; Yao RM
Appl Opt; 2021 Aug; 60(24):7400-7405. PubMed ID: 34613029
[TBL] [Abstract][Full Text] [Related]
10. A Novel Deep Transfer Learning Method for Intelligent Fault Diagnosis Based on Variational Mode Decomposition and Efficient Channel Attention.
Liu C; Zheng X; Bao Z; He Z; Gao M; Song W
Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010751
[TBL] [Abstract][Full Text] [Related]
11. Seeing the beam cleanup effect in a high-power graded-index-fiber Raman amplifier based on mode decomposition.
Fan C; An Y; Yao T; Xiao H; Huang L; Xu J; Leng J; Zhou P
Opt Lett; 2021 Sep; 46(17):4220-4223. PubMed ID: 34469978
[TBL] [Abstract][Full Text] [Related]
12. Modal decomposition for few mode fibers using the fractional Fourier system.
Yan W; Xu X; Wang J
Opt Express; 2019 May; 27(10):13871-13883. PubMed ID: 31163845
[TBL] [Abstract][Full Text] [Related]
13. Deep learning enabled superfast and accurate M
An Y; Li J; Huang L; Leng J; Yang L; Zhou P
Opt Express; 2019 Jun; 27(13):18683-18694. PubMed ID: 31252807
[TBL] [Abstract][Full Text] [Related]
14. Sub-sampled modal decomposition in few-mode fibers.
Choi K; Jun C
Opt Express; 2021 Sep; 29(20):32670-32681. PubMed ID: 34615332
[TBL] [Abstract][Full Text] [Related]
15. Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data.
Krishnan R; Jagannathan S; Samaranayake VA
IEEE Trans Neural Netw Learn Syst; 2020 May; 31(5):1763-1770. PubMed ID: 31329564
[TBL] [Abstract][Full Text] [Related]
16. Analysis of an image noise sensitivity mechanism for matrix-operation-mode-decomposition and a strong anti-noise method.
Deng Y; Chang Q; Chang H; Liu W; Ma P; Zhou P; Jiang Z
Opt Express; 2023 Apr; 31(8):12299-12310. PubMed ID: 37157392
[TBL] [Abstract][Full Text] [Related]
17. Real-time mode decomposition for few-mode fiber based on numerical method.
Huang L; Guo S; Leng J; Lü H; Zhou P; Cheng X
Opt Express; 2015 Feb; 23(4):4620-9. PubMed ID: 25836499
[TBL] [Abstract][Full Text] [Related]
18. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
Shi Z; Li H; Cao Q; Wang Z; Cheng M
Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
[TBL] [Abstract][Full Text] [Related]
19. Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing.
Mao Y; Gu Y; Sha L; Shao H; Wang Q; Abdelzaher T
IEEE Trans Neural Netw Learn Syst; 2023 Oct; PP():. PubMed ID: 37883250
[TBL] [Abstract][Full Text] [Related]
20. On similarity metrics evaluating the performance of mode decomposition in few-mode optical fibers.
Anisimov PS; Tsyplakov ED; Zemlyakov VV; Gao J
Opt Lett; 2023 Apr; 48(8):2022-2025. PubMed ID: 37058632
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
