Results 121 to 130 of about 1,270,531 (339)
Feature Selection for Image Steganalysis using Hybrid Genetic Algorithm [PDF]
Zhihua Xia+3 more
openalex +1 more source
Chronic Opioids in Gout: A Matched Cohort Study from the Veteran's Health Administration
Objective Though used frequently to treat flare, risk of chronic opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed chronic opioids over time.
Lindsay N. Helget+7 more
wiley +1 more source
Face Recognition by Optimizing Selection of Pixels Using Genetic Algorithm
Yasuchika Mori, Ri Kyo
openalex +2 more sources
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy+9 more
wiley +1 more source
Generation of Locomotion for Snake-like Robot using Genetic Algorithm and Analysis for Selections of Partial Modules [PDF]
Ihn-Seok Ahn, Jae-Young Jang, Kisung Seo
openalex +1 more source
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart+14 more
wiley +1 more source
Feature subset selection via multi-objective genetic algorithm
H.C. Lac, Deborah Stacey
openalex +2 more sources
Feature selection from nocturnal oximetry using genetic algorithms to assist in obstructive sleep apnoea diagnosis [PDF]
Daniel Álvarez+3 more
openalex +1 more source
A genetic algorithm to ensemble feature selection
We are going to implement the "GA-SEFS" by Tsymbal and analyse experimentally its performance depending on the classifier algorithms used in the fitness function (NB, MNge, SMO). We are also going to study the effect of adding to the fitness function a measure to control complexity of the base classifiers.
openaire +1 more source
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva+4 more
wiley +1 more source