Search Results - (( using function using algorithm ) OR ( image classification system algorithm ))
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…Region growing segmentation and radial basis function algorithms are considered a powerful tool to minimize the mixed pixel classification error.…”
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2
Classification of Mammogram Images Using Radial Basis Function Neural Network
Published 2020“…This paper presents the classification method for mammogram Image using Radial Basis Function Network (RBF) technique. …”
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Book Chapter -
3
Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain
Published 2020“…For the future work, this system need to be improved by using dataset that are related to the ASD and by using other classification algorithm.…”
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Thesis -
4
Diagnosis and treatment recommender system for myocardial infarction using decision tree and Support Vector Machines (SVM) / Wan Marzuqiamrin Wan Mansor
Published 2025“…The prototype functions by initially allowing the user to upload an ECG image which will be processed using SVM for feature extraction and classification. …”
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Thesis -
5
Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran
Published 2023“…This system was put to two tests of testing which were functionality testing of the whole system and the metric evaluation of the object detection and classification model. …”
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6
A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah
Published 2012“…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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Thesis -
7
Feature fusion using a modified genetic algorithm for face and signature recognition system
Published 2015“…Most existing systems are dealing with feature fusion of the same domain such as image based of fingerprint and face. …”
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Thesis -
8
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…The system hardware consists of two parts, motion XY-stage used for wafer planar translation and optical unit used for acquiring wafer images. …”
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9
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The fitness function used is the correlation function in the SKF algorithm to optimize the cipher image produced using the Lorenz system. …”
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Thesis -
10
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…The system hardware consists of two parts, motion XY-stage used for wafer planar translation and optical unit used for acquiring wafer images. …”
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11
RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2023“…Aerial photography; Classification (of information); Cost effectiveness; Electric power transmission; Graphic methods; Object detection; Poles; Remote sensing; Stereo image processing; Vehicle transmissions; Depth Map; Disparity map; Global information systems; Graph cut; High voltage transmissions; Ortho-rectification; Remote sensing applications; Stereo matching algorithm; Unmanned aerial vehicles (UAV)…”
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An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing
Published 2014“…The algorithm tested on the publicly available Mivia Hep-2 Cell image dataset. …”
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Final Year Project -
14
Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach
Published 2023“…Aerial photography; Aircraft detection; Antennas; Codes (symbols); Discrete cosine transforms; Discrete wavelet transforms; Glossaries; Image classification; Image coding; Image enhancement; Learning algorithms; Learning systems; Object recognition; Remote sensing; Satellite imagery; Satellites; Unmanned aerial vehicles (UAV); Discrete tchebichef transforms; Discriminative features; Finite Ridgelet Transform; Histogram of oriented gradients; Image processing and computer vision; Scale invariant feature transforms; SIFT; Sparse coding; Classification (of information)…”
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Moment-based extraction on handwritten digits
Published 2005“…Classification and recognition results are analyzed to determine the necessity of operation thinning when dealing with the moment functions. A Simple Block Segmentation with Moore Tracing Algorithm (SBS & MNTA) is used in image segmentation while Safe-point Thinning Algorithm (SPTA) is applied in image thinning process. …”
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Monograph -
16
Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2017“…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The RNN was used to detect patterns present in satellite image. …”
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19
Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
Published 2022“…The visualization and classification of the area of interest in any picture is therefore an important function in order to segment the image. We examine a variety of image segmentation algorithms and give our reinforcement learning algorithm that uses Deep Convolutional Neural Networks for the detection of irregular objects, which has been tested on four datasets. …”
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Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals
Published 2025“…These images are then processed by the AlexNet model, achieving an impressive classification accuracy of 93.30%. …”
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