Results 61 to 70 of about 7,281 (167)
Topologically Optimized Intrinsic Brain Networks
Using the innate topological information from referenced intrinsic brain networks, this paper presents a novel method for enhancing brain network images. We show that this technique increases the contrast‐to‐noise ratio while also enhancing the subject variability.
Noah Lewis +4 more
wiley +1 more source
Confidence Intervals in High-Dimensional Regression Based on Regularized Pseudoinverses
In modern data sets, the number of available variables can greatly exceed the number of observations. In this paper we show how valid confidence intervals can be constructed by approximating the inverse covariance matrix by a scaled Moore-Penrose ...
Boot, Tom, Nibbering, Didier
core +1 more source
Stacked Regression With a Generalization of the Moore-Penrose Pseudoinverse [PDF]
Tomasz Górecki, Maciej Łuczak
openalex +3 more sources
Movement detection in tunneling applications using new deformed point registration
Abstract Timely detection of ground movement is critical in geotechnical engineering to prevent failures that could result in loss of life or property damage. In tunneling applications, this task is commonly referred to as convergence monitoring, which has conventionally relied on geodetic instruments such as total stations, or, more recently, on ...
Anurak Puengrostham, Suttisak Soralump
wiley +1 more source
Abstract Prediction of concrete chloride ingress under varying environmental conditions is computationally demanding, particularly when mesostructural effects are considered. Uncertainties in service history and material properties further limit conventional models.
Yue Li, Miroslav Vořechovský
wiley +1 more source
Monocular visual servo control of a quadcopter for crossing windows, doors, and corridors
Abstract This paper proposes a sequential visual servo control scheme for quadcopters, where the main goal is to drive a quadcopter to a desired pose while crossing windows, doors, or corridors using only visual feedback. This control scheme is composed of two stages that act in sequence: the approaching and pose regulation phases.
Carlos A. Toro‐Arcila +2 more
wiley +1 more source
In this paper we study the monotonicity and limit properties at infinity of certain symmetric matrix-valued functions arising in the singular Sturmian theory of canonical linear differential systems.
Peter Šepitka, Roman Šimon Hilscher
doaj +1 more source
OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training
In this paper we consider the training of single hidden layer neural networks by pseudoinversion, which, in spite of its popularity, is sometimes affected by numerical instability issues.
Cancelliere, Rossella +3 more
core +1 more source
Multivariate Normal Distribution Method for a Virtual Cerebral Arterial Population
A simple multivariate normal distribution (MVND) method for generating a population of distributed virtual arteries with multiple geometric features was developed. The distribution of geometric features in virtual arteries represents the distribution in real arteries. ABSTRACT Recently, the concept of a virtual population (Vpop) has attracted attention
Kazuyoshi Jin +6 more
wiley +1 more source
Optimal control theory with arbitrary superpositions of waveforms
Standard optimal control methods perform optimization in the time domain. However, many experimental settings demand the expression of the control signal as a superposition of given waveforms, a case that cannot easily be accommodated using time-local ...
Ankerhold, Joachim +3 more
core +1 more source

