Search Results - (( parallel distribution selection algorithm ) OR ( probable extraction method algorithm ))
Search alternatives:
- parallel distribution »
- selection algorithm »
- probable extraction »
- extraction method »
- method algorithm »
-
1
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
Get full text
Get full text
Thesis -
2
Distributed generation with parallel connected inverter
Published 2009“…This paper presents the design and analysis of a new configuration of parallel connected inverter suitable for Distributed Generation Application. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
-
4
-
5
Spam image filtering algorithm / Muhammad Hazim Shahimi
Published 2015“…This project is done to help the internet user from being flood by the spam especially spam images. The algorithm in this project will help the existing current spam filtering to enhance the method in filtering spam images. …”
Get full text
Get full text
Thesis -
6
Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
Get full text
Get full text
Thesis -
7
Towards a Malay derivational lexicon: learning affixes using expectation maximization
Published 2011“…We extract the set of affix patterns produced by our algorithm and evaluate them against two references: a list of affix patterns extracted from our hand-segmented derivational wordlist and a derivational history produced by a stemmer.…”
Get full text
Get full text
Get full text
Proceeding Paper -
8
-
9
-
10
Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Bayesian classification and decision making are based on probability theory and choosing the most probable or the lowest risk. …”
Get full text
Get full text
Thesis -
11
-
12
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
Get full text
Get full text
Thesis -
13
Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Direct approach for mining association rules from structured XML data
Published 2012“…Efforts are made to develop a new tool or method for extracting information from XML data directly without any preprocessing or post processing of the XML documents. …”
Get full text
Get full text
Thesis -
15
A new descriptor for smile classification based on cascade classifier in unconstrained scenarios
Published 2021“…In this paper, an adaptive model for smile classification is suggested that integrates a row-transform-based feature extraction algorithm and a cascade classifier to increase the precision of facial recognition. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…From a dimensionality reduction evaluation aspect, the average misclassification error of the proposed method in low-rank feature space is 9.6% and same error rate for three other well-known feature extraction methods is 21.21%. …”
Get full text
Get full text
Thesis -
17
-
18
Car recognition using Bayes Classifier / Nur Atiqah Mat Samadi
Published 2017Get full text
Get full text
Thesis -
19
Voting algorithms for large scale fault-tolerant systems
Published 2011“…By extracting various plots from different aspects, we demonstrated that, compared to the basic algorithm, our algorithm has higher reliability and availability as the quantity of the input data increases. …”
Get full text
Get full text
Thesis -
20
