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Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean
Push recovery is prime ability that is essential to
be incorporated in the process of developing a robust humanoid
robot to support bipedalism. In real environment it is very
essential for humanoid robot to maintain ...
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 ...
ALGORITMO K-MEANS PARALELO BASEADO EM HADOOP-MAPREDUCE PARA MINERAÇÃO DE DADOS AGRÍCOLAS
(UNIVERSIDADE ESTADUAL DE PONTA GROSSABRComputação para Tecnologias em AgriculturaPrograma de Pós Graduação Computação AplicadaUEPG, 2017)
Novas estratégias para conserto de soluções degeneradas no algoritmo k-means
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2016-10-05)
A Hyperheuristic Approach for Unsupervised Land-Cover Classification
(Ieee-inst Electrical Electronics Engineers Inc, 2016-06-01)
Unsupervised land-use/cover classification is of great interest, since it becomes even more difficult to obtain high-quality labeled data. Still considered one of the most used clustering techniques, the well-known k-means ...
Dynamic texture segmentation based on deterministic partially self-avoiding walks
(ElsevierAmsterdam, 2013-09)
Recently there has been a considerable interest in dynamic textures due to the explosive growth of multimedia databases. In addition, dynamic texture appears in a wide range of videos, which makes it very important in ...
Métodos de agrupamento longitudinal: uma aplicação em dados de ondas ultrassônicas
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEstatística - Es, 2021-11-12)
The preservation of buildings faces several challenges, such as the wear caused by weather, atmospheric conditions, soil settlement or even lack of proper maintenance. In some cases, such as historical heritage, it is not ...
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 ...