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  1. 61

    Spintronic effects and devices in nonlinear optics by Gil Bashan, Shani Izhak, Ofir Yesharim, Ady Arie

    Published 2025-01-01
    “…Moreover, it enables us to realize new all-optical devices that manipulate superposition states of the signal and idler. …”
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    Article
  2. 62

    Mathematical Fundamentals of Modern Linear Optics by Andrey V. Gitin

    Published 2012-01-01
    “…All known quantum-mechanical approaches to wave and statistical optics are united into a single theory, using Feynman's path integral as a fundamental principle. …”
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    Optical Coherence Tomography by Pier Alberto Testoni

    Published 2007-01-01
    “…Optical coherence tomography (OCT) is an optical imaging modality that performs high-resolution, cross-sectional, subsurface tomographic imaging of the microstructure of tissues. …”
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  16. 76

    Optic nerve glioma by U. Masilionytė, E. Zarambaitė, B. Glebauskienė, A. Radžiūnas

    Published 2023-10-01
    Subjects: “…optic nerve glioma…”
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  18. 78

    Paper on Designing Costless THz Paper Optics by A. Siemion, P. Kostrowiecki-Lopata, A. Pindur, P. Zagrajek, M. Sypek

    Published 2016-01-01
    “…Designing diffractive optical elements is crucial for efficient development of THz techniques. …”
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    Article
  19. 79

    The Principle of Mathematical Induction: Applications in Physical Optics by Joseph Ivin Thomas

    Published 2022-01-01
    “…., the fringe intensity distribution formula and the upper bound of the total fringe count. These specific optical instantiations serve to illustrate the versatility and power of the principle at tackling real-world problems. …”
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  20. 80

    Federated Learning Based on OPTICS Clustering Optimization by Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma

    Published 2022-01-01
    “…Therefore, we proposed the diversified sampling strategies to simulate the non-IID data situation and came up with the OPTICS (ordering points to identify the clustering structure)-based clustering optimization federated learning method (OCFL), which solves the problem that the learning accuracy is reduced when the data of different nodes are non-IID in FL. …”
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    Article