Search Results - (( its applications means algorithm ) OR ( its application using algorithm ))*
Search alternatives:
- applications means »
- its applications »
- means algorithm »
- its application »
- using algorithm »
-
1
-
2
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
3
-
4
-
5
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…Experiments were conducted on six UCI datasets to validate the effectiveness of the BDFCOM, comparing its performance against seven other clustering algorithms using six evaluation indices. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
-
7
A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
Published 2014Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
Enhanced Automated Framework For Cattle Tracking And Classification
Published 2022Get full text
Get full text
Thesis -
10
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
Get full text
Get full text
Thesis -
11
A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.…”
Get full text
Get full text
Get full text
Proceeding Paper -
12
Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…Finally, the features are selected using Adaptive Mean Genetic Algorithm (AMGA). In this study, the average PSNR value obtained after applying Wiener filter was 45.29. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN
Published 2021“…The improvements of the original PSO algorithm are proposed by updating its exploitation phase by incorporating the GWO algorithm because of its strong exploitation capability and the exploration phase using a cellular automaton due to its ability to explore more area by constructing new neighbours. …”
Get full text
Get full text
Thesis -
14
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. Each word in the particular document is processed by both algorithms to determine its actual occurrence in the document by which it will first be clustered or grouped into categories based on parts of speech (verb, noun, adjective) which is done by K-Means, then later processed by SVM to determine the actual occurrence of each word in each of the cluster, taking into account whether the words have similar meanings with otherwords in the subsequent cluster. …”
Get full text
Get full text
Final Year Project -
15
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. Each word in the particular document is processed by both algorithms to determine its actual occurrence in the document by which it will first be clustered or grouped into categories based on parts of speech (verb, noun, adjective) which is done by K-Means, then later processed by SVM to determine the actual occurrence of each word in each of the cluster, taking into account whether the words have similar meanings with otherwords in the subsequent cluster. …”
Get full text
Get full text
Final Year Project -
16
All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
17
The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga
Published 2016“…We also compared the performance of pdAPSO and pdPSO with 9 state of the art PSO algorithms using 12 benchmark functions. Our proposed algorithms have mean dependability of 80.4% for pdAPSO and 69.69% for pdPSO. …”
Get full text
Get full text
Thesis -
18
Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression
Published 2021“…The proposed hybrid gravitational search based support vector regression HGS-SVR model was evaluated by its mean squared error (MSE), correlation coefficient (CC), and root mean square error (RMSE). …”
Get full text
Get full text
Get full text
Article -
19
Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
Get full text
Get full text
Thesis