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Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…In order to solve this problem, a simulation based “Multi-Colony Global Particle Swarm Optimization (MC-GPSO)” algorithm was developed. …”
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Thesis -
2
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…RFID technology is a radio frequency identification services that provide a reader reading the information of items from the tags. …”
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Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Dynamic Frame Slotted ALOHA (DFSA) is a de facto algorithm in the EPC Global Class-1 Generation-2 protocol for Radio Frequency Identification (RFID) tag collision problem. …”
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application
Published 2022“…Radio frequency identification (RFID) is an important internet of things (IoT) enabling technology. …”
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Modelling of the anti-collision algorithm in RFID system: article / Shafinaz Ismail
Published 2014“…Radio Frequency Identification (RFID) is a wireless technology that has replaced barcodes. …”
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Modelling of the anti-collision algorithm in RFID system / Shafinaz Ismail
Published 2014“…Radio Frequency Identification (RFID) is a wireless technology that has replaced barcodes. …”
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Thesis -
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An innovative approach for estimating the number of tags in RFID traffic monitoring systems
Published 2024“…During identification process, RFID systems encounter two main challenges: tag collision and reader collision. …”
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Proceeding Paper -
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…Low-cost radio frequency identification (RFID) tags conforming to the EPCglobal Class-1 Generation-2 standard are inherently insecure due to computational constraints. …”
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Thesis -
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A novel anti-collision protocol for optimization of remote sensing in dense reader network
Published 2015“…The behavior of the algorithm is evaluated through a set of simulation experiments which demonstrates that the algorithm is 15 efficient than NFRA. …”
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Effect of parameters variation on the performance of particle swarm optimization algorithm for tag coverage problem of radio frequency identification network
Published 2016“…Optimal tag coverage is the most crucial aspect for deploying RFID (Radio Frequency Identification) system in a large scale. …”
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Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
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Thesis -
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IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…Selected basic behaviour-based algorithms such as wallfollower, obstacle avoidance, escape route and target detection are to be combined and its efficiency is measured. …”
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Final Year Project -
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Intruder localization wireless sensor network radar design with virtual reference tags
Published 2014“…VRTs are previously used in RFID (Radio Frequency Identification) system to provide reference to the system. …”
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Thesis -
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…One of the prominent methods to improve machine learning accuracy is by using ensemble method which basically employs multiple base models. …”
Conference Paper -
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A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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Thesis -
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Due to the inherent and uncertain variability of the Harumanis features, fuzzy learning algorithm has been designed to classify these fruits similar to the ability of human experts. …”
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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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