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Parameter Selection in Coupled Dynamical Systems for Tomographic Image Reconstruction [PDF]
Journal of ImagingThis study investigates the performance of image-reconstruction methods derived from coupled dynamical systems for solving linear inverse problems, focusing on how appropriate parameter selection enhances noise-suppression capability in tomographic image
Ryosuke Kasai +2 more
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Data-Driven Regularization Parameter Selection in Dynamic MRI [PDF]
Journal of Imaging, 2021 In dynamic MRI, sufficient temporal resolution can often only be obtained using imaging protocols which produce undersampled data for each image in the time series. This has led to the popularity of compressed sensing (CS) based reconstructions.
Matti Hanhela +5 more
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Parameter Selection in Genetic Algorithms [PDF]
Journal of Systemics, Cybernetics and Informatics, 2004 In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental ...
Onur BOYABATLI, Ihsan SABUNCUOGLU
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Projective light-sheet microscopy with flexible parameter selection [PDF]
Nature CommunicationsProjection imaging accelerates volumetric interrogation in fluorescence microscopy, but for multi-cellular samples, the resulting images may lack contrast, as many structures and haze are summed up.
Bingying Chen +11 more
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A hybridization of feedforward neural network and differential evolution to forecast fertilizer consumption emphasizing on selecting optimal architecture [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 A fertilizer marketing or producing sector has played an important role in agricultural productivity and also food security around the world for many years.
Thoranin Sujjaviriyasup
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Parameter optimization of support vector machine based on improved cuckoo search algorithm
Xi'an Gongcheng Daxue xuebao, 2022 To solve the problem of difficult selection of penalty factor and kernel function parameters of Support Vector Machine (SVM), an improved cuckoo search algorithm (GFCS) was proposed to optimize SVM parameter model (GFCS-SVM) . The GFCS algorithm improves
GU Jiaxin, HE Xingshi, LIU Qing
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Calibration of Model Parameters for Soda Saline Soil-Subsoiling Component Interaction Based on DEM
Applied Sciences, 2023 To apply the discrete element method (DEM) to simulate the interaction process between soda saline–alkali soil and subsoiling component in Northeast China, establishing the soda saline–alkali soil particle model and selecting more accurate simulation ...
Min Liu +6 more
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Parameter Selection for Principal Curves [PDF]
IEEE Transactions on Information Theory, 2012 Principal curves are nonlinear generalizations of the notion of first principal component. Roughly, a principal curve is a parameterized curve in R-d which passes through the "middle" of a data cloud drawn from some unknown probability distribution. Depending on the definition, a principal curve relies on some unknown parameters (number of segments ...
Biau, Gérard, Fischer, A.
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IEEE Photonics Journal, 2022 The shaping current technology can efficiently and low-costly suppress the relaxation oscillations (ROs) of the direct modulation semiconductor laser (DML) for the high-performance optic system.
Qing-An Ding +8 more
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On the automatic parameter selection for permutation entropy [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 Permutation Entropy (PE) is a cost effective tool for summarizing the complexity of a time series. It has been used in many applications including damage detection, disease forecasting, detection of dynamical changes, and financial volatility analysis.
Audun Myers, Firas A. Khasawneh
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