نتایج جستجو برای: t gather maps into relatively few radial traces

تعداد نتایج: 2814085  

Journal: :Proceedings of the American Mathematical Society 2005

2009
S. Triphan P. Ehses M. Blaimer J. Kreutner F. Breuer

Introduction T1 mapping of the human lung can be used for both a direct visualization of abnormal changes in tissue and indirectly to investigate e.g. oxygen transfer by examining T1 at different oxygen concentrations in the breathing gas. In previous work, the Inversion Recovery (IR) Snapshot FLASH sequence has been used to quantify T1 in the lung [1]. The spatial resolution of T1 maps is howe...

Journal: :Topology and its Applications 2006

2017
David W Eby Lisa J Molnar Lidia P Kostyniuk Renée M St Louis Nicole Zanier

The study aim was to gain a better understanding of the characteristics of informal caregivers who provide transportation assistance and to explore the types and frequency of this assistance. A telephone survey was administered to a representative sample of 268 informal caregivers (age 45-80) who provide transportation assistance to older adults (age 70 and older) in Michigan. Responses were an...

Journal: :Journal of Fundamental and Applied Sciences 2023

Landsat 8 OLI data, Aeromagnetic and Radial Vertical Electrical Sounding (RVES) survey data were integrated to map lithology, delineate structures their trends, possible mineralized zones in the area. yielded a color composite image, surface lineaments of The aeromagnetic maps utilized subsurface structures. A radial confirmed fractures derived from structural maps. Results classified area into...

1998
Irwin W. Sandberg

We consider causal time-invariant nonlinear inputoutput maps that take a set of bounded functions into a set of real-valued functions, and we give criteria under which these maps can be uniformly approximated arbitrarily well using a certain structure consisting of a notnecessarily linear dynamic part followed by a nonlinear memoryless section that may contain sigmoids or radial basis functions...

2012
K. Arthi A. Tamilarasi

In this paper, a hybrid artificial network model called DIAGADHD is proposed for the diagnosis of ADHD (Attention Deficit/ Hyperactivity Disorder) using neuro fuzzy technique. This model is a combination of unsupervised training algorithm using self organizing maps and supervised training algorithm using radial basis function. The linguistic values of suspected children are received from the pa...

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