Search Results - (( data application means algorithm ) OR ( parallel optimization sensor algorithm ))*
Search alternatives:
- parallel optimization »
- optimization sensor »
- application means »
- data application »
- sensor algorithm »
- means algorithm »
-
1
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…To deal with these issues, adaptive sampling algorithm is applied to the data points to adhere to the manipulators speed constraints. …”
Get full text
Get full text
Thesis -
2
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. …”
Get full text
Get full text
Thesis -
3
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
Get full text
Get full text
Get full text
Thesis -
4
Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
Published 2016Get full text
Get full text
Conference or Workshop Item -
5
Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. The high-Tc SQUID magnetometer is constructed from a high-Tc SQUID sensor coupled by a flux transformer to sense the modulated magnetization signal from a sample. …”
Get full text
Get full text
Get full text
Article -
6
A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm requires two inputs for it to be applied onto a data set, the value K, and a proximity measure. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
-
8
-
9
-
10
Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
Get full text
Get full text
Get full text
Article -
11
Clustering of rainfall data using k-means algorithm
Published 2019“…Clustering algorithms in data mining is the method for extracting useful information for a given data. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
-
13
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
14
Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…Exploring the dataset features through the application of clustering algorithms is a viable means by which the conceptual description of such data can be revealed for better understanding, grouping and decision making. …”
Get full text
Get full text
Get full text
Article -
15
A near-optimal centroids initialization in K-means algorithm using bees algorithm
Published 2009Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005Get full text
Get full text
Get full text
Conference or Workshop Item -
17
-
18
Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
19
An efficient fuzzy C-least median clustering algorithm
Published 2021Get full text
Get full text
Get full text
Get full text
Article -
20
A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Hence, this study carried out several objectives to augment the support of modified clustering algorithm. Firstly, an extended K-Means clustering algorithm (called X-Means algorithm) is proposed to filter/remove the noise from user session data to eliminate outliers or irrelevant pages. …”
Get full text
Get full text
Get full text
Thesis
