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Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms
This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done ...
New algorithms for weighted k-domination and total k-domination problems in proper interval graphs
(Elsevier Science, 2019-11)
Given a positive integer k, a k-dominating set in a graph G is a set of vertices such that every vertex not in the set has at least k neighbors in the set. A total k-dominating set is a set of vertices such that every ...
Evolving clusters in gene-expression data
(Elsevier Science IncNew YorkEUA, 2006)
Classification of Impaired Waist to Height Ratio Using Machine Learning Technique
(Advances in Intelligent Systems and Computing, 2021)
Comparative study on ant colony optimization (ACO) and K-Means clustering approaches for jobs scheduling and energy optimization model in Internet of Things (IoT)
The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ...
Evolutionary k-means for distributed data sets
(ElsevierAmsterdam, 2014-03-15)
One of the challenges for clustering resides in dealing with data distributed in separated repositories, because most clustering techniques require the data to be centralized. One of them, k-means, has been elected as one ...
Building detection from lidar data using entropy and the k-means concept
(2019-06-04)
Information obtained from LiDAR data processing is considered in a variety of applications, among them urban planning. In this context, buildings play a substantial role, since a high percentage of the urban landscape is ...
Localização de danos em estruturas isotrópicas com a utilização de aprendizado de máquina
(Universidade Estadual Paulista (Unesp), 2017-06-28)
Este trabalho introduz uma nova metodologia de Monitoramento da Integridade de Estruturas (SHM, do inglês Structural Health Monitoring) utilizando algoritmos de aprendizado de máquina não-supervisionado para localização e ...
K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification
(2016-10-01)
The availability of polarimetric synthetic aperture radar (PolSAR) images has increased, and consequently, the classification of such images has received immense attention. Among different classification methods in the ...