Search Results - (( based selection research algorithm ) OR ( model notification system algorithm ))
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A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC
Published 2020“…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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An internet of things based for smart recycle waste classification / Akmal Md Nasir
Published 2023“…To accurately categorise waste into the categories of metal, paper, plastic, and maybe other waste types, the system uses an image classification model based on the ResNet algorithm. …”
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Radio quiet and radio notification zones characteristics for radio astronomy in medium densely populated areas and humid tropical countries
Published 2024journal::journal article -
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Static and self-scalable filter range selection algorithms for peer-to-peer networks
Published 2011“…Two multiple selection algorithm, which are known as “static filter range selection algorithm” and “self-scalable selection algorithm” are proposed. …”
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Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…The Real-Valued Negative Selection Algorithms, which are the focal point of this research, generate their detector sets based on the points of self data. …”
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DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS
Published 2018“…Density of the traffic is calculated by the algorithm that have various variables. The system will synchronize with Android Application, which can show the notification of alert system, level of traffic congestion and real-time sensors data for each junction. …”
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Final Year Project Report / IMRAD -
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Case Slicing Technique for Feature Selection
Published 2004“…CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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Detection of SQL injection attack using machine learning
Published 2024“…The system covers multiple stages: project pre-development, data pre-processing, feature selection, machine learning model selection, model training, model testing, implementation, and assessment. …”
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Final Year Project / Dissertation / Thesis -
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
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New selection algorithm for Mengubah Destini Anak Bangsa (MDAB) students / Zamali Tarmudi ... [et al.]
Published 2014“…This research introduces a new algorithm to select students from low income family the so-called Mengubah Destini Anak Bangsa (MDAB) using fuzzy approach. …”
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Research Reports -
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AGENT MEETING SCHEDULER
Published 2011“…The study is meant to research and select suitable algorithm to be implemented in agent meeting scheduler. …”
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Final Year Project -
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Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm
Published 2007“…To achieve such goal, this research modifies and improves the Reduction with Selective Redundancy (RSR) algorithm. …”
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Video surveillance: Front-yard monitoring
Published 2023“…It will trigger an alarm when violent activities such as fighting or snatching theft happen. The system’s primary purpose is to reduce victims’ potential loss and damage by providing immediate notifications on intrusion without delay.…”
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Final Year Project / Dissertation / Thesis -
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…Selecting a successor is an important part within an organization to finding a replacement based on the position. …”
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Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
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Evaluation of FCV and FCM clustering algorithms in cluster-based compound selection
Published 2011“…However, little research has been done on overlapping method fuzzy c-means (FCM) and fuzzy c-varieties (FCV) clustering algorithms in compound selection research. …”
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