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A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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Artikel
Amir Beck; Marc Teboulle · SIAM Journal on Imaging Sciences · 2009
We consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods, which can be viewed as an extension of the classi...
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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Maziar Raissi; Paris Perdikaris; George Em Karniadakis · Journal of Computational Physics · 2018
Fachgebiete / Stichwörter: Partial differential equation; Nonlinear system; Artificial neural network; Context (archaeology); Inverse problem; Partial derivative; Computer science; Automatic differentiation; Applied mathematics; Physical law; Math...
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Efficient Inverse Method for Structural Identification Considering Modeling and Response Uncertainties
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Lixiong Cao et al · KeAi Communications Co., Ltd · 2022 · ISSN 1000-9345
Abstract The inverse problem analysis method provides an effective way for the structural parameter identification. However, uncertainties wildly exist in the practical engineering inverse problems. Due to the coupling o...
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4K-DMDNet: diffraction model-driven network for 4K computer-generated holography
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Kexuan Liu et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2023 · ISSN 2096-4579
Deep learning offers a novel opportunity to achieve both high-quality and high-speed computer-generated holography (CGH). Current data-driven deep learning algorithms face the challenge that the labeled training datasets...
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Calificación generalizada y convergencia óptima para métodos de regularización espectrales
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Spies, Ruben Daniel et al · Asociación Argentina de Mecánica Computacional · 2007 · ISSN 2093-2105
El concepto de calificación de métodos de regularización espectrales (MREs) para problemas inversos mal condicionados está fuertemente asociado con el orden de convergencia óptimo delerror de regularización (H. W. ...
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Deep-learning-based ciphertext-only attack on optical double random phase encryption
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Meihua Liao et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2021 · ISSN 2096-4579
Optical cryptanalysis is essential to the further investigation of more secure optical cryptosystems. Learning-based attack of optical encryption eliminates the need for the retrieval of random phase keys of optical encr...
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$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
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Michal Aharon; Michael Elad; Alfred M. Bruckstein⋆ · IEEE Transactions on Signal Processing · 2006
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinatio...
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Inverse design in quantum nanophotonics: combining local-density-of-states and deep learning
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Liu Guang-Xin et al · Wiley · 2023 · ISSN 2192-8606
Recent advances in inverse-design approaches for discovering optical structures based on desired functional characteristics have reshaped the landscape of nanophotonic structures, where most studies have focused on how l...
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Inverse design of organic light-emitting diode structure based on deep neural networks
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Kim Sanmun et al · Wiley · 2021 · ISSN 2192-8614
The optical properties of thin-film light emitting diodes (LEDs) are strongly dependent on their structures due to light interference inside the devices. However, the complexity of the design space grows exponentially wi...
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Inverse-designed taper configuration for the enhancement of integrated 1 × 4 silicon photonic power splitters
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Hong Seokjin et al · Wiley · 2024 · ISSN 2192-8614
Once light is coupled to a photonic chip, its efficient distribution in terms of power splitting throughout silicon photonic circuits is very crucial. We present two types of 1 × 4 power splitters with different splitti...
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A newcomer’s guide to deep learning for inverse design in nano-photonics
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Khaireh-Walieh Abdourahman et al · Wiley · 2023 · ISSN 2192-8614
Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as light concentration, routing, and filtering. Designing these devices to achieve precise light–matter interactions using structural ...
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Deep learning enabled inverse design in nanophotonics
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So Sunae et al · Wiley · 2020 · ISSN 2192-8606
Deep learning has become the dominant approach in artificial intelligence to solve complex data-driven problems. Originally applied almost exclusively in computer-science areas such as image analysis and nature language ...
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An Improved Time-Domain Inverse Technique for Localization and Quantification of Rotating Sound Sources
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Xiaozheng Zhang et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract The time-domain inverse technique based on the time-domain rotating equivalent source method has been proposed to localize and quantify rotating sound sources. However, this technique encounters two problems to ...
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Functional Family Therapy for families of youth (age 11–18) with behaviour problems: A systematic review and meta‐analysis
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Julia H. Littell et al · SAGE Publishing · 2023 · ISSN 1891-1803
Abstract Background Functional Family Therapy (FFT) is a short‐term family‐based intervention for youth with behaviour problems. FFT has been widely implemented in the USA and other high‐income countries. It is oft...
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Multisystemic Therapy for Social, Emotional, and Behavioral Problems in Youth Aged 10–17
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Julia H. Littell et al · SAGE Publishing · 2005 · ISSN 1891-1803
The aim of this Campbell Systematic Review was to evaluate the effect of multi‐systemic therapy (MST) on adolescents with social, emotional, and behavioural problems based on the best available evidence. The effect is ...
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Multisystemic Therapy® for social, emotional, and behavioural problems in youth age 10 to 17: An updated systematic review and meta‐analysis
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Julia H. Littell et al · SAGE Publishing · 2021 · ISSN 1891-1803
Abstract Background Multisystemic Therapy® (MST®) is an intensive, home‐based intervention for families of youth with social, emotional, and behavioural problems. MST therapists engage family members in identifying a...
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Simulator-based training of generative neural networks for the inverse design of metasurfaces
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Jiang Jiaqi et al · Wiley · 2019 · ISSN 2192-8606
Metasurfaces are subwavelength-structured artificial media that can shape and localize electromagnetic waves in unique ways. The inverse design of these devices is a non-convex optimization problem in a high dimensional ...
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A deep neural network for general scattering matrix
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Jing Yongxin et al · Wiley · 2023 · ISSN 2192-8614
The scattering matrix is the mathematical representation of the scattering characteristics of any scatterer. Nevertheless, except for scatterers with high symmetry like spheres or cylinders, the scattering matrix does no...
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Physics-data-driven intelligent optimization for large-aperture metalenses
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Yingli Ha et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2023 · ISSN 2096-4579
Metalenses have gained significant attention and have been widely utilized in optical systems for focusing and imaging, owing to their lightweight, high-integration, and exceptional-flexibility capabilities. Traditional ...
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A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization
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Abbas Y. AL-Bayati et al · University of Mosul, College of Education for Pure Science · 2012 · ISSN 1812-125X
Abstract In this paper, a modified globally convergent self-scaling BFGS algorithm for solving convex unconstrained optimization problems was investigated in which it employs exact line search strategy and the inverse He...
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A review on control methodologies of disturbance rejections in optical telescope
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Tang Tao et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2019 · ISSN 2096-4579
Structural vibrations in Tip-Tilt modes usually affect the closed-loop performance of astronomically optical telescopes. In this paper, the state of art control methods-proportional integral (PI) control, linear quadrati...
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Agressividade e empatia na infância: um estudo correlacional com pré-escolares
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Michelle Girade Pavarino et al · Universidade Federal do Paraná · 2005 · ISSN 1981-8076
Aggressiveness is associated to several problems in the child development, with evidences of inverse correlation with empathy that is seen as a possible inhibitor of such behaviors. Based in the referential of the Social...
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COMPARISON OF PATIENTS ON HEMODIALYSIS AND CONTINUOUS AMBULATORY PERITONEAL DIALYSIS IN TERMS OF DEPRESSION, ANXIETY AND DISABILITY
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Nurdan ERENGİN et al · Turkish Society of Nephrology · 2019 · ISSN 2667-4440
In this study, the chronic renal failure patients undergoing hemodialysis (HD) or continuous ambulatory peritoneal dialysis (SAPD) therapy were compared in terms of aspects of disability, depression, anxiety with the inv...
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Cognitive‐Behavioral Treatment for Antisocial Behavior in Youth in Residential Treatment
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Bengt‐Åke Armelius et al · SAGE Publishing · 2007 · ISSN 1891-1803
Antisocial young people who have received cognitive behavioural therapy or other types of treatment in residential settings, do better than young people who have not been offered such treatment. Twelve months after leavi...
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