Search Results - (( developing greedy method algorithm ) OR ( java application using algorithm ))
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Routing problem in rectangular mesh network using Dijkstra’s based Greedy method
Published 2018“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra’s based greedy method. …”
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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…In this work, an extension of Greedy algorithm called xGreedy, is proposed. It finds the best approximated powers of each base to be used to convert large integers to new addition chains. …”
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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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5
Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Besides, this thesis developed a hybrid filter method to enhance the performance of the IFS. …”
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6
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Provider independent cryptographic tools
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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…Material and methods: To test the proposed technique, selected approximation algorithms have been developed to small graph instances. …”
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Optimizing kindergarten schedule using : graph coloring / Nur Nabilah Salleh Muner
Published 2019“…The greedy algorithm was used to color the graph and it was supported by the C++ program. …”
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Research Reports -
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Influence maximisation towards target users and minimal diffusion of information based on information needs
Published 2020“…IDTU was developed on greedy approach by using graph sketches to improve the selection of influencers that maximize influence spread to a set of target users. …”
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
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Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Direct approach for mining association rules from structured XML data
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Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
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Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities
Published 2008“…Fire stations in Jakarta Selatan were chosen for simulation. Two algorithms, Greedy Adding (Add) and Greedy Adding with Travel Time Evaluation (GAT), were applied to solve the optimization problem of the MSAP. …”
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…Hence, Robust-LARS (RLARS-RFCH) based on √ consistent multivariate (RFCH) correlation matrix is developed. The proposed method is computationally efficient and its performance outperformed the RLARS-Winsor The algorithm of all possible subsets is greedy and it is inefficient and unstable in the presence of autocorrelated errors and outliers. …”
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