Results 31 to 40 of about 2,181,691 (306)
Autonomous Surface Vessels (ASVs) are reliable and robust vehicles. They perform autonomous missions in lakes, rivers and even open waters. Those are dangerous environments that requires precise and secure navigation.
Accacio Ferreira Dos Santos Neto +4 more
doaj +1 more source
Penalized Estimation in Parametric Frailty Model
Frailty model examines the effect of observable and non-observable factors on time to event data. Presence of collinearity produces unstable estimates of parameters. Therefore, this research focus on the penalized estimation of frailty model and proposed the new estimator which is the extension of ridge and principal component estimators. Simulation is
Marwan H. Ahelali +2 more
openaire +3 more sources
Parameter Estimation for a Class of Lifetime Models
Our purpose in this paper is to present a better method of parametric estimation for a bivariate nonlinear regression model, which takes the performance indicator of rubber aging as the dependent variable and time and temperature as the independent ...
Xinyang Ji, Shunhou Fan, Wei Fan
doaj +1 more source
The nonlinearity behaviour of magnetorheological fluid (MRF) can be described using a number of established models such as Bingham and Modified Bouc-Wen models.
Asan G. A. Muthalif +3 more
doaj +1 more source
Maximal uniform convergence rates in parametric estimation problems [PDF]
This paper considers parametric estimation problems with independent, identically nonregularly distributed data. It focuses on rate efficiency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality ...
Beckert, Walter, McFadden, D.L.
core +1 more source
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
Parametric Channel Estimation for Massive MIMO [PDF]
Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation task is studied, considering a sparse channel model particularly suited to millimeter wave propagation, as well as a general measurement model taking into account hybrid ...
Luc Le Magoarou, Stéphane Paquelet
openaire +5 more sources
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
This paper compares two statistical methods for parameter reconstruction (random drift and diffusion coefficients of the Itô stochastic differential equation, SDE) in the problem of stochastic modeling of air–sea heat flux increment evolution.
Konstantin P. Belyaev +3 more
doaj +1 more source
A 6DoF Pose Estimation Dataset and Network for Multiple Parametric Shapes in Stacked Scenarios
Most industrial parts are instantiated from different parametric templates. The 6DoF (6D) pose estimation tasks are challenging, since some part objects from a known template may be unseen before.
Xinyu Zhang, Weijie Lv, Long Zeng
doaj +1 more source

