Search Results - (( developing function means algorithm ) OR ( java applications clustering algorithm ))
Search alternatives:
- applications clustering »
- developing function »
- java applications »
- means algorithm »
- function means »
-
1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
2
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
Get full text
Get full text
Final Year Project -
3
-
4
Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
5
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
-
8
A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds
Published 2007“…The results of the algorithm show significant improvement in comparison to a similar implementation of the hard c-means algorithm.…”
Get full text
Get full text
Get full text
Book Section -
9
Performance comparison of THF-NLFXLMS and VFXLMS algorithms for Hammerstein NANC
Published 2016“…Despite similar performance, this algorithm is more advantageous than the Nonlinear Filtered-X Least Mean Square (NLFXLMS) due to the use of tangential hyperbolic function (THF) instead of scaled error function (SEF) which allows the degree of nonlinearity to be modeled. …”
Get full text
Get full text
Conference or Workshop Item -
10
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. …”
Get full text
Get full text
Thesis -
11
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
Get full text
Get full text
Thesis -
12
Logic Programming In Radial Basis Function Neural Networks
Published 2013“…In this thesis also, I developed a new technique to extract the logic programming from radial basis function neural networks. …”
Get full text
Get full text
Thesis -
13
Computation of cryptosystem based on Lucas functions using addition chain
Published 2010“…The computation time for existing and new algorithms will be recorded. Smaller computation time means the algorithm is efficient than the other. …”
Get full text
Get full text
Conference or Workshop Item -
14
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…The performance of these algorithms is usually compared with the standard linear filtered-x least mean square (FXLMS) algorithm. …”
Get full text
Get full text
Thesis -
15
Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail
Published 2021“…The algorithm used to develop a product recommendation engine is collaborative filtering algorithm and this algorithm is written in python. …”
Get full text
Get full text
Thesis -
16
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
Get full text
Get full text
Thesis -
17
-
18
A Mobile Application For Stock Price Prediction
Published 2021“…The evaluation methods were Root Mean Square Error and Mean Absolute Error. The results show ARIMA has the least error among all five prediction algorithms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…The performance of the proposed algorithms are compared with quaternion least mean square QLMS, zero-attract quaternion least mean square ZA-QLMS, and widely linear quaternion least mean square WL-QLMS algorithms. …”
Get full text
Get full text
Get full text
Thesis -
20
All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. …”
Get full text
Get full text
Get full text
Get full text
Article
