Search Results - (( pattern using stepping algorithm ) OR ( java adaptation optimization algorithm ))
Search alternatives:
- adaptation optimization »
- stepping algorithm »
- java adaptation »
- using stepping »
- pattern using »
-
1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…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 -
3
Using Pattern Matching technique for feature recognition of STEP file
Published 2008Get full text
Learning Object -
4
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
Get full text
Get full text
Conference or Workshop Item -
5
Discovering Pattern in Medical Audiology Data with FP-Growth Algorithm
Published 2012“…We use frequent pattern growth (FP-Growth) algorithm in the data processing step to build the FP-tree data structure and mine it for frequents itemsets. …”
Get full text
Get full text
Conference or Workshop Item -
6
Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
Get full text
Get full text
Conference or Workshop Item -
7
Implementing case-based reasoning approach to framework documentation
Published 2023“…During the "revise" and "retain" steps of the CBR, Knuth-Morris-Pratt (KMP) pattern matching algorithm is applied. � 2008 IEEE.…”
Conference paper -
8
Development of a Web Access Control Technique Based User Access Behavior
Published 2004“…The necessary steps for the proposed technique are identified, and algorithms of these steps are developed and implemented using Active Server Page (ASP) and then tested on two web pages. …”
Get full text
Get full text
Thesis -
9
-
10
Investigation of block matching algorithm for video coding
Published 2013“…In this research, seven types of famous BMA techniques that are Exhaustive Search (ES), Three Step Search (TSS), New Three Step Search (NTSS), Simple and Efficient Three Step Search (SETSS), Four Step Search (4SS), Diamond Search (DS) and Adaptive Rood Pattern Search (ARPS) have been applied. …”
Get full text
Get full text
Get full text
Thesis -
11
Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
Published 2012“…In the first step, spatio-temporal correlation has been used for initial search centre prediction. …”
Get full text
Get full text
Get full text
Article -
12
Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…The identified patterns are then used to design an algorithm for detecting social networking data remnants automatically. …”
Get full text
Get full text
Get full text
Thesis -
13
Direct approach for mining association rules from structured XML data
Published 2012“…The proposed method, XiFLEX has been implemented using two different techniques (java based & XQuery) and compared with the original FLEX algorithm in its basic implementation and the Apriori algorithm for frequent patterns generation. …”
Get full text
Get full text
Thesis -
14
Coronary artery segmentation in angiograms with pattern recognition techniques - a survey
Published 2013“…In this paper, we have divided these algorithms into five major classes and propose a survey for the main class, pattern recognition, which is a famous technique in this manner. …”
Get full text
Get full text
Conference or Workshop Item -
15
Comparative analysis of line search methods in the Steepest Descent algorithm for unconstrained optimization problems / Ahmad Zikri Shukeri, Puteri Qurratu Ain Megat Sulzamzamendi...
Published 2024“…The result from this study is choosing FMRI algorithm using exact line search to get faster convergence rate which means that the algorithm achieves a high level of accuracy in fewer iterations compared to using other algorithms and inexact line search.…”
Get full text
Get full text
Student Project -
16
A comprehensive 3-phase framework for determining the customer’s product usage in a food supply chain
Published 2022“…Moreover, using Calinski-Harabasz Index, it was found that the algorithm provided more logic scores while the number of product patterns was 3 for the studied region (707.54).…”
Get full text
Get full text
Article -
17
An initial state of design and development of intelligent knowledge discovery system for stock exchange database
Published 2004“…Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Car plate recognition system : (segmentation)
Published 2005“…In the research,One Pass Thinning algorithm and Partial Segmentation algorithm are the algorithms being applied.For each phase,the used technique produces quite a good result whereby it is to be discussed in detail in the thesis.…”
Get full text
Get full text
Undergraduates Project Papers -
19
Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin
Published 2017“…In this step, user hear the speech and used the hand labelling method discuss in chapter 2. …”
Get full text
Get full text
Thesis -
20
Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting
Published 2020“…This paper modifies the classical fuzzy time series (FTS) algorithm by applying weighted subsethood based algorithm (WSBA) in FTS algorithm using segmented electricity load demand time series data. …”
Get full text
Get full text
Article
