Search Results - (( developing inter selection algorithm ) OR ( java implementation learning algorithm ))
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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. …”
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2
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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3
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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4
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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5
Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…Therefore, for this proposes good benchmarked algorithm, bacteria foraging algorithm is selected and developed to solve multiobjective cell formation model and traced constraints satisfaction handling to produce feasible optimal solution. …”
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6
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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8
Fast mode decision algorithm
Published 2011“…Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. …”
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Book Chapter -
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
10
Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks
Published 2014“…The proposed algorithm also leverages the location dependency of the joint processing. …”
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11
Cluster optimization in VANET using MFO algorithm and K-Means clustering
Published 2023“…First issue in VANET clustering is the Cluster Head (CH) selection since the CH has critical role in data routing and responsible for coordinating both inter and intra cluster communication. …”
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12
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Performance analysis of pair-wise error probability for 1/3 and 1/4 subcarrier mapping ICI-SC scheme in STFBC MIMO-OFDM system / Norhayati Abdullah
Published 2015“…In the latest development of Orthogonal Frequency Division Multiplexing (OFDM) communication system, the system performance can be distracted by the Frequency Offsets (FOs) which can demolish the orthogonality of the subcarriers, increases the Inter-Carrier Interference (ICI) and can intensely deteriorate the system performance. …”
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14
Evaluating the reliability of mechanomyography in muscle spasticity: inter and intra-rater consistency in flexion and extension movements with machine learning model
Published 2025“…The KNN approach, utilising a 90/10 data split for both flexion and extension, demonstrates superior accuracy of 90.12% and 86.42% across all three datasets when compared to other algorithms. Reliability testing for both clinical assessments and QSAT measurements was conducted through inter-rater and intra-rater evaluations, revealing an exceptional Kappa value of 1.000 for the QSAT, while the clinical method exhibited poor agreement. …”
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Article -
15
Sectoral GDP Convergence of Selected RCEP Countries: Lead or Lags?
Published 2017“…The three sector hypothesis states that, inter sectoral convergence is anticipated to appear whenever the less developed nations are capable of closing the income disparity with those advanced nations as Asian in this study. …”
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Moving detection using cellular neural network (CNN)
Published 2008“…The video then are segmented into images using SC Video Developer. Ten images are selected to be used in this project. …”
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Undergraduates Project Papers -
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A multi-objective routing mechanism for energy management optimization in SDN multi-control architecture
Published 2022“…Since the formulated energy-aware routing algorithm is designed as a multi-objective NP-hardness of the problem, a heuristic approach is developed to find optimal solutions for traffic routing between inter-controllers and controller-switch in terms of energy-aware consumption strategies. …”
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18
Improved random forest for feature selection in writer identification
Published 2015“…An algorithm and framework of Improved Random Forest (IRF) tree was applied for feature selection process. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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20
Implications of the Middle East Emerging Markets on International Portfolio Diversification
Published 2010“…For the intra-regional investments, the Middle Eastern equity markets provide more portfolio diversification benefits as compared to the emerging and developed equity markets. A vital difference between emerging and developed markets is that developed countries provide the opportunities of selecting the desired investments among a similar set of portfolio risks in both the short and long-term holding periods. …”
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