Search Results - (( things application based algorithm ) OR ( basic selection method algorithm ))
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Development and integration of capacitive sensing and electrocuting grid for mosquitoes surveillance and control
Published 2020“…The final proposed system is tested with a basic species recognition algorithm and achieved species recognition rate of between 75% to 83% and selective trapping rate of between 63% to 69%.…”
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Thesis -
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Smart and energy aware routing for the internet of mobile things
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Final Year Project / Dissertation / Thesis -
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A trust aware secure ant colony optimization based routing algorithm for Internet of Things
Published 2023“…With the rapid spread of Internet of Things (IoT) systems enhancing the development of IoT applications, the issue of designing a secure routing algorithm for IoT, including reasonable trust management, has attracted more and more research attention. …”
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Proceeding Paper -
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Intelligent Multi-cellular Network Connectivity for Internet of Things Applications
Published 2023Conference Paper -
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An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
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Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Variants of the proposed kg-DFSA, traditional DFSA and another grouping based DFSA algorithm (FCM-DFSA) were implemented in MATLAB. …”
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Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…This thesis proposes methods that can overcome the problems of good behaviour selection and good behaviour deletion. …”
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
Published 2021“…To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain a new subset of more informative features. …”
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Security factors based evaluation of verification algorithm for an IoT access system
Published 2023Conference Paper -
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…A systematic method for selecting the ANN's input variables was developed using Matlab Programming language.…”
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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…Artificial Bee Colony (ABC) algorithm is one of the methods used to solve the flowshop scheduling problem but only a few researches have been found using this method in this area. …”
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Thesis -
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Real-time time series error-based data reduction for internet-of-things applications
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Final Year Project / Dissertation / Thesis -
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Robust correlation feature selection based support vector machine approach for high dimensional datasets
Published 2025“…Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. …”
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