Search Results - (( mobile evaluation bees algorithm ) OR ( wave identification learning algorithm ))*
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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network
Published 2019“…The aim of this paper is to find the best possible route from the source to the destination based on a method inspired by the searching behaviour of bee colonies, i.e. artificial bee colony (ABC) algorithm. …”
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Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
Published 2017“…This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. …”
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Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
Published 2019“…Firstly, we proposed a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm (MC ABC-PSO) for evaluating the information gathered from the mobile nodes in the handover. …”
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Biologically inspired mobile agent-based sensor network (BIMAS)
Published 2014“…Simulation was conducted to evaluate the proposed mechanism and a prototype was developed to show the feasibility of mobile agent de-ployment and energy provisioning. …”
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Comparative study of informative acoustic features for VTOL UAV faulty prediction using machine learning
Published 2025“…The propeller faulty conditions are predicted based on informative features extracted from statistical time domain parameters of three audio wave features. Pitch, zero-crossing and short-time energy are selected as the significant audio features for the machine learning classification algorithm. …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The proposed technique was evaluated using the publicly available epileptic seizure data from the machine learning repository of the UCI center for machine learning and intelligent systems. …”
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What stole Chinese older adults’ life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data
Published 2026“…Generalized Ordered Logit Regression (GOLR) was combined with the XGBoost machine learning algorithm to capture both linear and nonlinear associations, as well as perform individual-level prediction of life satisfaction. …”
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Development of an automated detector and counter for bagworm census
Published 2020“…Then, the experiment on identification of bagworm under thermal imaging is conducted using a thermal infrared camera, T 440 at different sites. …”
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