Results 31 to 40 of about 1,095,657 (311)
Mechanics Based Tomography: A Preliminary Feasibility Study
Sensors, 2017 We present a non-destructive approach to sense inclusion objects embedded in a solid medium remotely from force sensors applied to the medium and boundary displacements that could be measured via a digital image correlation system using a set of cameras.
Yue Mei +4 more
doaj +1 more source
Superresolved image reconstruction from incomplete data
, 2012 A finite thickness slab of a metamaterial having a refractive index close to n = -1, can be used for sub-wavelength scale imaging. In the image domain, the measured fields contain evanescent wave contributions from subwavelength scale features in the ...
Richard Dudley +5 more
core +1 more source
Incomplete feedback data recovery scheme with kalman filter for real-time cyber-physical systems [PDF]
, 2015 Feedback data loss can severely degrade the overall system performance and as well as it can affect the control and computation of the cyber-physical systems (CPS) in theprovision of real-time, efficient, dependable, safe, and secure operations of a wide
Naushin Nower +5 more
core +1 more source
Econometrics, 2019 This article extends the Factor-Augmented Vector Autoregression Model (FAVAR) to mixed-frequency and incomplete panel data. Within the scope of a fully parametric two-step approach, the alternating application of two expectation-maximization algorithms ...
Franz Ramsauer +2 more
doaj +1 more source
Pseudo-Likelihood Estimation for Incomplete Data [PDF]
, 2011 In statistical practice, incomplete measurement sequences are the rule rather than the exception. Fortunately, in a large variety of settings, the stochastic mechanism governing the incompleteness can be ignored without hampering inferences about the ...
Verbeke, G +3 more
core
Cost-effectiveness in clinical trials : using multiple imputation to deal with incomplete cost data [PDF]
, 2007 Background: Cost-effectiveness has become an important outcome in many clinical trials and has resulted in the collection of resource use data and the calculation of costs for individual patients.
Burton, Andrea +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
On econometric modeling of incomplete data [PDF]
Methods of Operations Research, 1985 We discuss results on identification and estimation of dynamic models when values of the endogenous variable are regularly missing. The available data are assumed to be sampled at regular intervals of length k and can be linear combinations of the realizations of the variable over a finite number of periods.
Nijman, T.E., Palm, F.C.
openaire +3 more sources
Reporting and handling of incomplete outcome data in implant dentistry: A survey of randomized clinical trials. [PDF]
, 2020 AIM To assess the reporting and handling of incomplete outcome data in randomized clinical trials (RCTs) published in implant dentistry. MATERIALS AND METHODS We included RCTs on interventions related to the treatment with dental implants and ...
Pandis, Nikolaos +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source