Search Results - (( java implementation case algorithm ) OR ( using a missing algorithm ))
Search alternatives:
- java implementation »
- implementation case »
- missing algorithm »
- case algorithm »
- a missing »
- using a »
-
1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
Get full text
Get full text
Get full text
Thesis -
2
-
3
Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
Get full text
Get full text
Undergraduates Project Papers -
4
Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005Get full text
Get full text
Thesis -
5
Java based expert system for selection of natural fibre composite materials
Published 2013“…In this paper, we develop a technology for the materials selection system using Java based expert system. The weighted-range method (WRM) was implemented to identify the range value and to scrutinise the candidate materials. …”
Get full text
Get full text
Get full text
Article -
6
Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
Published 2016“…Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
Get full text
Get full text
Get full text
Article -
7
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
Determination of the best single imputation algorithm for missing rainfall data treatment
Published 2016“…Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
Get full text
Get full text
Get full text
Article -
9
-
10
Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
Get full text
Get full text
Article -
11
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific…”
Review -
12
Systematic review on missing data imputation techniques with machine learning algorithms for healthcare
Published 2022“…This paper provides a comprehensive review of different imputation techniques used to replace the missing data. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
Published 2019“…It represents the research and imputation of missing values in gene expression data. By using the local or global correlation of the data we focus mostly on the contrast of the algorithms. …”
Get full text
Get full text
Get full text
Article -
14
Performance of missing transverse momentum reconstruction in proton-proton collisions at root s=13 TeV using the CMS detector
Published 2019“…The performance of missing transverse momentum (p® miss T ) reconstruction algorithms for the CMS experiment is presented, using proton-proton collisions at a center-of-mass energy of 13 TeV, collected at the CERN LHC in 2016. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
Detection Of Misplaced And Missing Regions In Image Using Neural Network
Published 2017“…In image processing phase, the captured image is split into regions and the RGB (Red Green Blue) value of the regions is obtained. The neural network used in this research is a back-propagation neural network and it is trained by using Scaled Conjugate Gradient training algorithm. …”
Get full text
Get full text
Thesis -
16
Enhanced mechanism to handle missing data of Hadith classifier
Published 2011“…While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. The correct branch to take is unknown if a feature tested is missing, and the algorithm must employed enhanced mechanisms to handle missing values. …”
Get full text
Get full text
Get full text
Proceeding Paper -
17
Missing Value Imputation for PM10 Concentration in Sabah using Nearest Neighbour Method(NNM) and Expectation-Maximization (EM) Algorithm
Published 2020“…The missing data is imputed by using both NNM and EM algorithm. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
Missing-values imputation algorithms for microarray gene expression data
Published 2019“…This chapter presents a review of the research on missing-values imputation approaches for gene expression data. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter -
19
Identifying the Ideal Number Q-Components of the Bayesian Principal Component Analysis Model for Missing Daily Precipitation Data Treatment
Published 2018“…Contrarily, the single imputation algorithm is superior in missing daily precipitation data treatment for an inland region time series rather than the BPCAQ-VB algorithm.…”
Get full text
Get full text
Get full text
Article -
20
MISSING DAILY RAINFALL PREDICTION USING GREY WOLF OPTIMIZER-BASED NEURAL NETWORK
Published 2024Get full text
Get full text
Get full text
Book Chapter
