Applications of artificial neural networks in health care organizational decision-making: A sco** review
Health care organizations are leveraging machine-learning techniques, such as artificial
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …
Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft
C Xu, H Duan - Pattern Recognition Letters, 2010 - Elsevier
This paper describes a novel shape-matching approach to visual target recognition for
aircraft at low altitude. An artificial bee colony (ABC) algorithm with edge potential function …
aircraft at low altitude. An artificial bee colony (ABC) algorithm with edge potential function …
Wound image evaluation with machine learning
A pressure ulcer is a clinical pathology of localized damage to the skin and underlying tissue
caused by pressure, shear or friction. Diagnosis, care and treatment of pressure ulcers can …
caused by pressure, shear or friction. Diagnosis, care and treatment of pressure ulcers can …
Template matching using chaotic imperialist competitive algorithm
H Duan, C Xu, S Liu, S Shao - Pattern recognition letters, 2010 - Elsevier
Image matching plays an important role in feature tracking, object recognition, stereo
matching, digital photogrammetry, remote sensing, and computer vision. Imperialist …
matching, digital photogrammetry, remote sensing, and computer vision. Imperialist …
A novel image template matching based on particle filtering optimization
H Li, HB Duan, XY Zhang - Pattern Recognition Letters, 2010 - Elsevier
Image template matching is a basic and crucial process for image processing. In this paper,
we propose a new particle filtering optimization approach to image template matching. The …
we propose a new particle filtering optimization approach to image template matching. The …
An edge-based optimization method for shape recognition using atomic potential function
The edge potential function (EPF) approach is a promising edge-based shape matching tool
for visual target recognition, and describes the similarity between contours by means of a …
for visual target recognition, and describes the similarity between contours by means of a …
Stochastic fractal search algorithm for template matching with lateral inhibition
Q Luo, S Zhang, Y Zhou - Scientific Programming, 2017 - Wiley Online Library
Template matching is a basic and crucial process for image processing. In this paper, a
hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to …
hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to …
An Intelligent System for the Classification of Dental Problems Based on Bayesian Regularization Neural Network
In this paper, an intelligent system that can detect and classify dental problems as well as
give consultation according to the problem is proposed. This intelligent system is very useful …
give consultation according to the problem is proposed. This intelligent system is very useful …
[PDF][PDF] Possible role of microparticles in neuroimmune signaling of microglial cells
SM Schindler, E Bajwa, JP Little… - Neuroimmunology …, 2016 - pdfs.semanticscholar.org
Aim: Submicron fragments termed microparticles (MPs), derived from all major central
nervous system cell types including neurons and glia (microglia, astrocytes …
nervous system cell types including neurons and glia (microglia, astrocytes …
Predicting the evolution of pressure ulcers
A pressure ulcer is a clinical pathology of localized damage to the skin and underlying tissue
caused by pressure, shear or friction. Diagnosis, treatment and care of pressure ulcers are …
caused by pressure, shear or friction. Diagnosis, treatment and care of pressure ulcers are …