Search Results - (( basic selection method algorithm ) OR ( using position based algorithm ))
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…This research first proposes an improved continuous MOPSO to address the rapid clustering problem that exists in the basic PSO algorithm using three improvement strategies: re-initialization of particles, systematic switch of best solutions and mutation on global best selection. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Moving detection using cellular neural network (CNN)
Published 2008“…The algorithm created is used to detect the ball in the images. …”
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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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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…Through effective separation of benign from harmful packet flows, this method lessens the burden on the control plane while preserving communication bandwidth. …”
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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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Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
Published 2021“…Lastly, for the fuzzy algorithm, a rule-based decision is applied to select whether the triangle area or average Euclidean algorithm is used to find the final estimated position. …”
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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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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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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…In addition to quantitative methods, a qualitative method of semi-structured interview based on the selected project was conducted after the students completed their projects to identify the strengths and difficulties, they had faced during the project creation. …”
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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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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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A new LoRa based positioning algorithm utilizing sequence based deep learning technique
Published 2023“…There are positioning system for respective environments for example, at outdoor GPS is used whereas for indoor positioning Wi-Fi and BLE are used but there is no positioning system that can be adaptive to different types of environments which leads to huge positioning error. …”
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Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system
Published 2021“…However, the problem of using the KNN algorithm is the fixed K value does not guarantee accurate estimation at every position. …”
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…Finally, the BP algorithm has been prove as a method that can be used for recognizing hand gesture for sign language and the successful task of recognition also dependent an the hnage processing. …”
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Providing Ubiquitous Positioning Using Context Aware Handover Algorithm
Published 2012“…The algorithm performs handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. …”
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