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A continuous variable neighborhood search heuristic for finding the three-dimensional structure of a molecule
(Elsevier Science BvAmsterdamHolanda, 2008)
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
(2011-05-26)
This paper investigates the use of Random Dynamic Neighborhoods in Particle Swarm Optimization (PSO) for the purposeof training fixed-architecture neural networks to classify a real-world data set of seismological data.Instead ...
Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images
For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...
Characterization of complex networks by higher order neighborhood properties
(2008)
A concept of higher order neighborhood in complex networks, introduced previously [Phys. Rev. E 73, 046101 (2006)], is systematically explored to investigate larger scale structures in complex
networks. The basic idea is ...
Neighborhoods attributes as determinants of children’s academic achievementNeighborhoods attributes as determinants of children’s academic achievement
(Pontificia Universidad Católica Argentina, 2019)
On the manifold structure of the set of unparameterized embeddings with low regularity
(SPRINGER, 2011)
Given manifolds M and N, with M compact, we study the geometrical structure of the space of embeddings of M into N, having less regularity than C(infinity) quotiented by the group of diffeomorphisms of M.
Neighborhood and family perceived environments associated with children's physical activity and body mass index
(Academic Press Inc Elsevier Science, 2016-01)
Objective. To investigate the association of neighborhood and family perceived environments, use of and distance to public open spaces with leisure-time physical activity (LTPA) and body mass index (BMI) in Argentinean ...