Search Results - (( parametric classification using algorithm ) OR ( basic estimation using algorithm ))
Search alternatives:
- parametric classification »
- classification using »
- basic estimation »
- using algorithm »
-
1
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
Get full text
Get full text
Thesis -
2
Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. …”
Get full text
Get full text
Get full text
Article -
3
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
Get full text
Get full text
Get full text
Book Chapter -
4
System identification using Extended Kalman Filter
Published 2017“…The EKF algorithm performance was compared with Recursive Least Square (RLS) estimation algorithm as a comparison algorithm performance. …”
Get full text
Get full text
Student Project -
5
-
6
A cost and delay estimation of a suite of low-cost adaptive routers for hierarchical torus network
Published 2012“…In this paper, We present a conservative estimation of hardware cost and router delay for the proposed routing algorithms and compare it with the dimension order routing. …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
Get full text
Get full text
Thesis -
8
Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques
Published 2022“…This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. …”
Get full text
Get full text
Get full text
Article -
9
Generalized derivations and automorphisms of some classes of algebras
Published 2019“…In the Leibniz algebra case, we had eight subspaces too, with different structures, it includes two one-parametric sets as well. Furthermore, by using the two one-parametric sets, two invariant functions are de- fined. …”
Get full text
Get full text
Thesis -
10
Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach
Published 2023“…The focus of this study is on the use of DTs, employing the Classification and Regression Trees (CART) algorithm, in the initial screening of athletes. …”
Get full text
Get full text
Get full text
Article -
11
Performance Analysis of Motion Estimation Algorithms on Digital Video Images
Published 2011“…Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. …”
Get full text
Get full text
Article -
12
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…The experimental results are also thoroughly evaluated and verified via non-parametric statistical analysis. Based on the obtained experimental results, the OGC, DPSO, and VDEO frameworks achieved an average enhancement up to 24.36%, 9.38%, and 11.98% of classification accuracy, respectively. …”
Get full text
Get full text
Thesis -
13
Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…Step search (4SS), Diamond search (DS), Adaptive Rood Pattern Search (ARPS) and Cross-Diamond-Hexagonal search (CDHS). This algorithm basically employs two crossshaped search patterns consecutively in the very beginning steps and switch using diamond-shaped patterns. …”
Get full text
Get full text
Thesis -
14
Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. …”
Get full text
Get full text
Get full text
Article -
15
-
16
Novel voice activity detection based on cepstrum moments
Published 2010“…In this paper we propose a novel statistical VAD algorithm using Cepstrum coefficients and their moments as features for classification. …”
Get full text
Get full text
Conference or Workshop Item -
17
Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
Get full text
Get full text
Thesis -
18
An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…It is a well-established fact that machine learning is outperforming in terms of prediction and classification. Therefore, in this study a new optimized variant of machine learning algorithms is presented. …”
Get full text
Get full text
Thesis -
19
A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets
Published 2024“…The basic idea of our proposed method is to modify the Mahalanobis distance so that it uses only the diagonal elements of the scatter matrix in the computation of the RFCH algorithm. …”
Get full text
Get full text
Get full text
Article -
20
Power System State Estimation In Large-Scale Networks
Published 2010“…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
Get full text
Get full text
Thesis
