Data-Driven Regularization Parameter Selection in Dynamic MRI [PDF]
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 Coupled Dynamical Systems for Tomographic Image Reconstruction [PDF]
This 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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Parameter Selection in Genetic Algorithms [PDF]
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]
Projection 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]
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
doaj +1 more source
Classification method of surrounding rock of plateau tunnel based on BP neural network
Due to the unique high-altitude geological conditions of the railway in the cold region, the problem of high ground stress in the construction process is very prominent.
Li Shuguang +7 more
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Parameter Selection for Principal Curves [PDF]
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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Designing Structural Parameters of Nonwovens Using Fuzzy Logic and Neural Networks [PDF]
In this paper, a computer aided system for designing nonwoven materials is presented. As an original approach in the field of nonwoven research, both quality measurement analysis and human knowledge processing are integrated in the system.
Philippe Vroman +3 more
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Parameter optimization of support vector machine based on improved cuckoo search algorithm
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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LoRa Transmission Parameter Selection [PDF]
Low-Power Wide-Area Network (LPWAN) technologies such as Long Range (LoRa) are emerging that enable power efficient wireless communication over very long distances. LPWAN devices typically communicate directly to a sink node which removes the need of constructing and maintaining a complex multi-hop network.
Martin C. Bor, Utz Roedig
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