Search Results - (( java implementation learning algorithm ) OR ( using radio using 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
Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks
Published 2017“…For the first algorithm for coalition formation, well-known gale shapely algorithm is used to achieve cooperation among the cognitive radios for spectrum detection and sharing. …”
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Proceeding Paper -
3
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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4
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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5
Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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6
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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7
Coalition formation for cooperative spectrum sharing in cognitive radio wireless networks using Gale Shapley Algorithm
Published 2016“…We show using simulation that using the modified gale shapely algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to non-cooperative cognitive radio user.…”
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8
Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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9
Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges
Published 2016“…This paper presents a comprehensive survey on the state-of-the-art channel assignment algorithms in cognitive radio networks. We also classify the algorithms by presenting a thematic taxonomy of the current channel assignment algorithms in cognitive radio networks. …”
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Coalition formation for throughput enhancement in cognitive radio wireless networks
Published 2015“…In this paper we use the concepts from matching theory, specifically we use Gale-Shapley algorithm, to form the coalition among cognitive radio user for collaborative spectrum sensing under target detection probability constraint. …”
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11
Interferometric array planning using division algorithm for radio astronomy applications
Published 2017“…In the second scheme, a genetic algorithm is developed, in order to optimize a correlator array of antennas by using Genetic Algorithm (GA). …”
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12
Throughput enhancement in cognitive radio network via coalition formation using matching theory
Published 2015“…Index Terms—cognitive radio; spectrum sensing; distributed algorithms; stable matching, matching theory.…”
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13
Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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14
Survey of channel assignment algorithms for multi-radio multi-channel wireless mesh networks
Published 2015“…MR-MC can be used to utilize the radio spectrum efficiently. However, the performance of WMN is highly affected by several radios operating at frequencies close to each other. …”
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15
Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Published 2016“…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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16
An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker
Published 2011“…In this regards, this study explores two algorithms. The first algorithm is an efficient and faster ray-tracing technique based on binary angle division for radio signal prediction in indoor environment. …”
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17
Coalition formation for throughput enhancement via one-sided matching theory
Published 2016“…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario.…”
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18
Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced
Published 2019“…To support the demand for more radio spectrums, cognitive LTE-Advanced that aggregates the LTE-Advanced current radio spectrums with the underutilized licensed radio spectrums from another system via cognitive radio is introduced. …”
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19
Teletraffic performance of mobile cellular channel assignment using genetic algorithm
Published 2023“…Teletraffic performance of channel assignment strategy with and without genetic algorithm (GA) integration is presented in this paper. …”
Conference paper -
20
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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