AIMC Topic: Time Factors

Clear Filters Showing 1231 to 1240 of 2001 articles

Impulsive synchronization of stochastic reaction-diffusion neural networks with mixed time delays.

Neural networks : the official journal of the International Neural Network Society
This paper discusses impulsive synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and hybrid time delays. By virtue of inequality techniques, theories of stochastic analysis, linear matrix inequalities...

Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.

PloS one
The establishment and improvement of transmission systems rely on models that take into account, (among other factors), the geographical features of the region, as these can lead to signal degradation. This is particularly important in Brazil, where ...

Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties.

Neural networks : the official journal of the International Neural Network Society
In this paper, the boundedness and robust stability for a class of delayed complex-valued neural networks with interval parameter uncertainties are investigated. By using Homomorphic mapping theorem, Lyapunov method and inequality techniques, suffici...

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.

Neural networks : the official journal of the International Neural Network Society
This paper presents an algorithm for nonnegative matrix factorization based on a biconvex optimization formulation. First, a discrete-time projection neural network is introduced. An upper bound of its step size is derived to guarantee the stability ...

Switching PD-based sliding mode control for hovering of a tilting-thruster underwater robot.

PloS one
This paper presents a switching PD-based sliding mode control (PD-SMC) method for the 6-degree-of-freedom (DOF) hovering motion of the underwater robot with tilting thrusters. Four thrusters of robot can be tilted simultaneously in the horizontal and...

Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller.

Neural networks : the official journal of the International Neural Network Society
The paper is concerned with the synchronization problem of inertial memristive neural networks with time-varying delay. First, by choosing a proper variable substitution, inertial memristive neural networks described by second-order differential equa...

Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

Osteoarthritis and cartilage
OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthritis (OA) estimated thereof.

Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization.

Scientific reports
The brain represents visual objects with topographic cortical patterns. To address how distributed visual representations enable object categorization, we established predictive encoding models based on a deep residual network, and trained them to pr...

Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks.

BMC bioinformatics
BACKGROUND: Pathological angiogenesis has been identified in many malignancies as a potential prognostic factor and target for therapy. In most cases, angiogenic analysis is based on the measurement of microvessel density (MVD) detected by immunostai...

Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks.

Artificial intelligence in medicine
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment based on anti-diabetic drugs to achieve the desired glucose level. Thus, each patient is associated with a sequence of multiple records for prescription...