Quadratic Constrained Quadratic Estimation for Distribution Network with Limited Measurements [PDF]
Practical and efficient state estimation is essential for the safe and stable operation of future smart grid. In rectangular coordinates, distribution system state estimation (DSSE) problem can be described as a sparse quadratic constraint quadratic ...
Long Cheng +4 more
doaj +1 more source
Estimating the Spectrum in Computed Tomography Via Kullback–Leibler Divergence Constrained Optimization [PDF]
Purpose We study the problem of spectrum estimation from transmission data of a known phantom. The goal is to reconstruct an x‐ray spectrum that can accurately model the x‐ray transmission curves and reflects a realistic shape of the typical energy ...
Barber, Rina Foygel +4 more
core +3 more sources
The adaptive neural network sliding mode control for angle/force tracking of the dexterous hand
In order to achieve high precision control of the dexterous hand, an adaptive neural network sliding mode control algorithm based on the U-K (Udwadia-Kalaba) equation is proposed. Firstly, based on the U-K equation and considering the ideal and non-ideal
Xing Qin, Heng Shi, Xin Gao, Xiyu Li
doaj +1 more source
Variational analysis of constrained M-estimators [PDF]
We propose a unified framework for establishing existence of nonparametric M-estimators, computing the corresponding estimates, and proving their strong consistency when the class of functions is exceptionally rich. In particular, the framework addresses situations where the class of functions is complex involving information and assumptions about ...
Royset, Johannes O., Wets, Roger J-B
openaire +5 more sources
Projection Estimates of Constrained Functional Parameters [PDF]
AMS classifications: 62G05; 62G07; 62G08; 62G20; 62G32;
Fils-Villetard, A. +2 more
openaire +4 more sources
Complex Human Pose Estimation via Keypoints Association Constraint Network
Human pose estimation has attracted enormous interest in the field of human action recognition. When the human pose is complex (such as pose distortion, pose reversal, etc.) or there is background interference (multi-target, shadow, etc.), the keypoints ...
Xuan Zhu +6 more
doaj +1 more source
Applying positivity constraints to q-space trajectory imaging: The QTI+ implementation
Diffusion MRI is a powerful technique sensitive to the microstructure of heterogeneous media. By relating the dMRI signal obtained via general gradient waveforms to the moments of an underlying diffusion tensor distribution, q-space trajectory imaging ...
Deneb Boito +3 more
doaj +1 more source
Optimal segmentation and improved abundance estimation for superpixel-based Hyperspectral Unmixing
Superpixel-based hyperspectral unmixing (HU) can effectively reduce spectral variability’s influence on unmixing performance. In the superpixel-based HU method, this study proposes a segmentation scale determination method to improve the accuracy of ...
Qiang Guan +4 more
doaj +1 more source
Estimating parameters for generalized mass action models with connectivity information
Background Determining the parameters of a mathematical model from quantitative measurements is the main bottleneck of modelling biological systems. Parameter values can be estimated from steady-state data or from dynamic data.
Voit Eberhard O +2 more
doaj +1 more source
Conditional average treatment effect estimation with marginally constrained models
Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population.
van Amsterdam Wouter A. C. +1 more
doaj +1 more source

