Search Results - (( _ application means algorithm ) OR ( based application new algorithm ))*
Search alternatives:
- application means »
- based application »
- means algorithm »
- application new »
- new algorithm »
-
1
-
2
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
4
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
Get full text
Get full text
Get full text
Get full text
Article -
5
-
6
-
7
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 -
8
A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation
Published 2010“…A comparison between our proposed algorithm and the algorithm proposed by Tevfik Yucek in term of the Normalized Mean Square Error has been shown.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Existing works do not provide readers prior tag estimates. Most algorithms assume a collision slot means two tag collision. …”
Get full text
Get full text
Article -
10
Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided
Published 2016“…The human eye tracking algorithm is very important, especially in the facial analysis application. …”
Get full text
Get full text
Get full text
Article -
11
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The first research objective is to develop a new deep learning algorithm by a hybrid of DNN and K-Means Clustering algorithms for estimating the Lorenz chaotic system. …”
Get full text
Get full text
Thesis -
12
-
13
-
14
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. …”
Get full text
Get full text
Get full text
Proceeding Paper -
15
-
16
Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…In active noise control (ANC) applications, the saturation effect of the loudspeaker in the secondary path is considered as the most serious problem that could degrade performance of standard filtered-x least mean square (FXLMS) control algorithm. …”
Get full text
Get full text
Get full text
Article -
17
Segmentation of MRI brain images using statistical approaches
Published 2011Get full text
Get full text
Thesis -
18
Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
Published 2023“…To address these problems, a novel method combining a covering rough set and a K-Means clustering algorithm (RK-Means) was proposed in this paper. …”
Article -
19
-
20
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
