Results 271 to 280 of about 11,046,276 (309)
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MRI parameters in multiple sclerosis patients
Neuroradiology, 1988Magnetic resonance imaging (MRI) findings of 20 patients with clinically definite multiple sclerosis (MS) are presented. The studies were performed on a 0.5 Tesla magnet using spin-echo technique. Analysis of the MRI findings included detailed linear measurements of the ventricular and the subarachnoid spaces and reading of the intensity of the grey ...
I, Reider-Groswasser +5 more
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Estimation of multiple parameters in dynamical systems
2008 American Control Conference, 2008This paper addresses the problem of multiple parameter estimation in dynamical systems, where the solution algorithm is built upon the principles of extracting statistical information contents or patterns in the framework of symbolic domain filtering.
Chinmay Rao +3 more
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The multiple-parameter fractional Fourier transform
Science in China Series F: Information Sciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Lang +3 more
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Tuning of Multiple Parameters With a BIST System
IEEE Transactions on Circuits and Systems I: Regular Papers, 2017This paper presents a low-power built-in self-test system to compensate for mismatch and variations in CMOS IC. The system is designed and compiled on a low-power field programmable analog array (FPAA) fabricated on a 350-nm CMOS process. A second-order bandpass filter is used as a device under test.
Sahil Shah, Jennifer Hasler
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Algorithmic Verification with Multiple and Nested Parameters
2009We consider parameterised verification problem, where parameters are sets and relations over these sets, typically used to denote sets of identities of replicated components and connections between the components. A specification and a system are given as (multiply) parameterised labelled transition systems, parameter values are encoded using first ...
Antti Siirtola, Juha Kortelainen
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A novel joint estimator of multiple underwater sources with multiple parameters
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004A new generalized eigenstructure-based 3-dimensional joint estimator (GETJE) for the direction, frequency, and time-delay of multiple sources is presented. For 2-dimensional joint parameter estimation, we proposed an ESPRIT-based algorithm (Qunfei Zhang and Jianguo Huang, Int. Conf. On ASSP, 1999). Now we extend it to the 3-dimensional estimator. Using
QunFei Zhang, Jianguo Huang, Zhen Bao
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Multiple Comparisons for a Large Number of Parameters
Biometrical Journal, 2001Summary: When there are many parameters of interest (finitely large or infinite), standard multiple comparison procedures for a finite number of parameters (called discrete-domain approaches) may lead to a simultaneous confidence region (SCR) too conservative to be useful.
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Tupling functions with multiple recursion parameters
1993Tupling is a transformation tactic to obtain new functions, without redundant calls and/or multiple traversals of common inputs. It achieves this feat by allowing a set (tuple) of function calls to be computed recursively from its previous set. In [Chi93c], a safe (terminating) unfold/fold transformation algorithm was proposed for a class of functions ...
Wei-Ngan Chin, Siau-Cheng Khoo
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Multiple parameter cluster analysis in a multiple language learning system
IISA 2013, 2013In this paper, we present our multiple parameter cluster analysis in our multiple language learning system. Towards this direction, we have used algorithmic approaches residing in the field of machine learning. Multiple parameter cluster analysis is conducted by the k-means clustering algorithm which takes as input seven important users ...
Christos Troussas +2 more
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Multiple Pharmacokinetic Parameter Prediction for a Series of Cephalosporins
Journal of Pharmaceutical Sciences, 2003The goal of quantitative structure-pharmacokinetic relationship analyses is to develop useful models that can predict one or more pharmacokinetic properties of a particular compound. In the present study, a multiple-output artificial neural network model was constructed to predict human half-life, renal and total body clearance, fraction excreted in ...
Turner, JV +3 more
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