Search Results - (( java implementation ant algorithm ) OR ( basic recognition based algorithm ))
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Thesis -
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Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib
Published 2013“…Final result produced by the algorithm is 92.312% of average accuracy and the classification for the leaf was based on the leaf-shape information.…”
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Research Reports -
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…For overall, the back-propagation algorithm has been proved as a method that can be used for recognition areas.…”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…A study on the research and development of the previous project based on pattern recognition has been done as a result selected; method, theory and techniques will be gathered in order to perform a hand gesture for sign language recognition system. …”
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Simulation on Emotion Recognition for Autism Therapy
Published 2017“…This paper mainly focusing on the simulation of emotion recognition software based on the Local Binary Pattern (LBP) algorithm to extract the features from the image. …”
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Final Year Project -
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Speech recognition system using MATLAB : design, implementation, and samples codes
Published 2011“…This project focuses on all English digits from (Zero through Nine), which is based on isolated words structure. Two modules were developed, namely the isolated words speech recognition and the continuous speech recognition. …”
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Book -
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Raspberry Pi-Based Finger Vein Recognition System Using PCANet
Published 2018“…Finger Vein Recognition System (FVRS) is a biometric technology that identifies or verifies an individual identity based on unique vein patterns. …”
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Monograph -
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Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
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Monograph -
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The algorithm enhances the recognition ability of the system compared to manual extraction and labeling of pattern classes. …”
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A Review on the Development of Indonesian Sign Language Recognition System
Published 2013“…Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. …”
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Article -
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Malay continuous speech recognition using continuous density hidden Markov model
Published 2007“…Hidden Markov Model (HMM) based statistical modeling is used in Malay speech recognition. …”
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Development of an Activity Recognition System Using Accelerometers
Published 2014“…With the increasing number of elderly people that live alone at most of the time or all the time, activity recognition system based on BSN can help in monitoring their activities at home. …”
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Final Year Project -
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Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
Published 2019“…Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the local decisions of a classifier. …”
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Thesis -
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Review of Wheat Disease Classification and Severity Detection Models
Published 2023“…Special attention is paid to the application of image segmentation technology in wheat disease severity recognition. This paper mainly aims to explain deep learning-based wheat diseases identification algorithm, and to discuss the benefits and drawbacks of present wheat disease detection approaches. …”
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Article