Search Results - (( web application _ algorithm ) OR ( based application ((path algorithm) OR (means algorithm)) ))*
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A web-based implementation of k-means algorithms
Published 2022“…Furthermore, the web application could save the users’ past work, so that they may resume their work at a later time without skipping a beat.…”
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Final Year Project / Dissertation / Thesis -
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Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…In active noise control (ANC) applications, the saturation effect of the loudspeaker in the secondary path is considered as the most serious problem that could degrade performance of standard filtered-x least mean square (FXLMS) control algorithm. …”
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Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim
Published 2017Subjects: Get full text
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Thesis -
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cancel the noise in linear environment. …”
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Thesis -
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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journal::journal article -
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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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Thesis -
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Development of web-based GIS for traffic management system with obstacle avoidance technique using open source software
Published 2014“…Obstacle avoidance technique was implemented in this algorithm to avoid the congested areas. A web-based traffic management system was developed using open source software in this study. …”
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Thesis -
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN
Published 2022“…EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
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Monograph -
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QoS based fair load-balancing: paradigm to IANRA routing algorithm for wireless networks (WNs)
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Conference or Workshop Item -
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Subsequently, the THF modelling scheme can be incorporated into an established real time NLFXLMS algorithm termed THF-NLFXLMS algorithm. The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
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Thesis -
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A Dijkstra’s Mobile Web Application Engine for Generating Integrated Light Rail Transit Route
Published 2010“…In previous research we are implemented the mobile web application using rules based algorithm where the destination-oriented routes need to be dynamically generated by determining the nearest station according to the specific places. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Results obtained after pre-processing phase showed that the data quality will improve when the number of records reduced by (51.45). The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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