Search Results - (( developing special recognition algorithm ) OR ( java implication based algorithm ))
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DEVELOPMENT OF POINT CLOUD DESCRIPTORS FOR ROBUST 3D RECOGNITION
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Arabic character recognition system using Convolutional Neural Network (CNN) / Nurul Amira Abdullah
Published 2024“…This research project focuses on Arabic Handwritten Recognition system using Convolutional Neural Networks (CNNs) algorithm. …”
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Towards automatic testing and defect recognition in magnetic particle inspection
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Proceeding Paper -
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Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
Published 2014“…Therefore to close the gap between manual and automatic, automatic image recognition system using machine vision algorithm must be developed. …”
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Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli
Published 2022“…The purpose of this research to develop handwritten character recognition system by using Recurrent Neural Network (RNN) algorithm. …”
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Student Project -
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A web-based image recognition system for detecting harumanis mangoes / Mohamad Shahmil Saari, Romiza Md Nor and Huzaifah A Hamid
Published 2020“…For those who are not acquainted with aromatic mango, it is difficult to tell the distinction between Harumanis and the others. By using image recognition, people can identify Harumanis feature details by image recognition technique where algorithm is applied to recognize the mango. …”
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Article -
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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REAL AND SIMULATED MASKED FACE RECOGNITION WITH A PRE-TRAINED MODEL
Published 2023“…Current research has utilised custom datasets or a specially produced dataset for masked face recognition. …”
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Real and simulated masked face recognition with a pre-trained model
Published 2023“…Current research has utilised custom datasets or a specially produced dataset for masked face recognition. …”
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Hand Gesture Recognition Using Artificial Neural Networks
Published 2007“…Since static hand postures not only can express some concepts, but also can act as special transition states in temporal gestures recognition, thus estimating static hand postures is in fact a big topics in gesture recognition. …”
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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
Published 2021“…Due to this developing significance of crop yield prediction, this article provides an exhaustive review on the use of machine learning algorithms to predict crop yield with special emphasis on palm oil yield prediction. …”
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Application of Gesture Data Recognition in a Human-Interactive Leap Motion Sensor Chair
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Conference or Workshop Item -
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EMG signal classification for human computer interaction: a review
Published 2009“…Most of the developmental area is based on pattern recognition using neural networks. The EMG controller can be programmed to perform gesture recognition based on signal analysis of groups of muscles action potential. …”
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3D face registration across pose variation and facial expression using cross profile alignment
Published 2011“…Thus, as the first step prior face registration, the thesis proposed a novel nose tip region detection algorithm using localized point signature, developed specially to locate the nose tip region across various facial variation. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Nikon Inc. / Muhammad Hasif Anuar
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Entrepreneurship Project -
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A three dimensional (3D) vision based defect inspection system for gluing application
Published 2013“…Three types of defect are trained as model templates and save to the memory known as bumper, gap and bubble defect. Each defect has special characteristic. Inspection system developed to identify problems occurs in gluing process. …”
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