Search Results - (( java application optimisation algorithm ) OR ( being solution clustering algorithm ))
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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Modified ACS centroid memory for data clustering
Published 2019“…ACOC cannot transfer the current clustering solution to the next iterations due to the history of the search being lost during the algorithm run. …”
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Weight-based firefly algorithm for document clustering
Published 2013“…In this paper, we introduce the utilization of a new meta-heuristics algorithm, namely the Firefly algorithm (FA) to increase solution diversity. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
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Modified spectral clustering algorithm for semisupervised face annotation modeling
Published 2025“…Objectives included enhancing LPA accuracy, developing robust constraintbased clustering, and evaluating performance. The research streamlines annotation, reduces manual work, boosts facial recognition performance (98.97% purity), and contributes to computer vision and AI with efficient large-scale face annotation solutions, developing two models.…”
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6
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…For the third problem a modified of Kohonen Network (MKN) algorithm was proposed to select the initial centres of clusters. …”
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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad
Published 2019“…A clustering solution is ineffective if instability is not addressed properly. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Thus, this project proposes a solution to the problems by utilizing the machine learning approach which is the Agglomerative clustering algorithm. …”
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10
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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11
Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak
Published 2018“…Orange is a tool that being used in implementing K-Means Clustering Algorithm that could be seen as the most suitable solution to find a network trend pattern of user accessing the Internet and to produce with profiling network. …”
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12
Linear programming approach for scheduling sports league problems in Malaysia
Published 2017“…Besides, we also consider large problems in our formulated model as we introduced the cluster approach. In cluster approach, the large problems in scheduling sports league will be separated into few small clusters where all the small problems solve simultaneously and being linked back to the original problem in the end to achieve global optimal solution. …”
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13
Two-stage Heuristic for Primary School Timetabling Problem with Combined Classes Consideration
Published 2020“…A clashfree timetable can be obtained from this proposed algorithm. The result generated by this proposed solution outperforms the current manual practice in solution quality and computing efficiency.…”
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RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION
Published 2010“…The proposed training algorithms discussed in this thesis are derived for fixed size RBF network and being compared with Extreme Learning Machine (ELM) as the ELM technique just randomly assigned centers and width of the hidden neurons and update the output connected weights. …”
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