Search Results - ((pattern classification) OR (((based classification) OR (image classification)))) problems

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  1. 1
    Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis

    Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis by Mohd, Othman *, Nanna , Suryanna, Sahib@Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Selamat, Siti Rahayu

    Published 2012
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  2. 2
    A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification

    A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification by Shamaileh, Abeer Moh'd Salem

    Published 2019
    “…The use of texture analysis in texture and medical image classification has attracted considerable attention. …”
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  3. 3
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…The two approaches were applied to image pattern recognition problems. The RSNN was applied to automatic target recognition problem. …”
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  4. 4
    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…Data level based methods are meant to solve the imbalanced classification problem based on the idea of making both classes equal in number. …”
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  5. 5
    Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images

    Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issue... by Abdulsahib A.A., Mahmoud M.A., Mohammed M.A., Rasheed H.H., Mostafa S.A., Maashi M.S.

    Published 2023
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  6. 6
    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari

    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

    Published 2018
    “…NN such as Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) is trained in developing a classification system for agriculture purpose. ANN and KNN is applied to solve the problems in image analysis, pattern recognition and classification. …”
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  7. 7
    A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification

    A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification by Shamaileh, Abeer, Rassem, Taha H., Siau Chuin, Liew, Al Sayaydeh, Osama Nayel

    Published 2020
    “…The experimental results showed that the Feat-WCLTP not only overcomes the CLTP's dimensionality problem but also further improves the classification accuracy.…”
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  8. 8
    Deep plant: A deep learning approach for plant classification / Lee Sue Han

    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…The existing CNN based approaches can only capture the similar region-wise patterns within an image but not the structural patterns of a plant composed of varying number of plant views images composed of one or more organs. …”
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  9. 9
    Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet

    Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet by Wong, Hsueh Chung

    Published 2018
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    Monograph
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  10. 10
    Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah

    Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah by Abu Samah, Abdul Hafiz

    Published 2021
    “…To solving pattern classification problem, the optimization deep learning architecture and parameter by using four convolution layers is set up to classify the three pathological signs; HEM, MA and exudate. …”
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  11. 11
    Web page classification using convolutional neural network (CNN) towards eliminating internet addiction

    Web page classification using convolutional neural network (CNN) towards eliminating internet addiction by Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed, Araby, Madbouly

    Published 2021
    “…Thus, a mechanism that can classify the category of the incoming web page based on the web page content is needed. This paper is proposing a web page classification model using a Convolutional Neural Network (CNN) to classify the web page, then identify whether it is a Game or Online Video Streaming based on the pattern of words in the word cloud image taken from the web page text content. …”
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  12. 12
    Texture analysis using local ternary pattern for face anti-spoofing

    Texture analysis using local ternary pattern for face anti-spoofing by Parveen, Sajida, Syed Ahmed, Sharifah Mumtazah, Hasan Abbas, Nidaa, Naeem, Nadeem, Hanafi, Marsyita

    Published 2016
    “…Various feature extraction methods for texture classification including local Binary Patterns emerge as one of the most popular method because of its simplicity and classification accuracy. …”
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  13. 13
    Computer Vision Inspection And Classification On Printed Circuit Boards For Flux Defects

    Computer Vision Inspection And Classification On Printed Circuit Boards For Flux Defects by Ang, Teoh Ong

    Published 2016
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  14. 14
    Featureless EMG Pattern Recognition Based On Convolutional Neural Network

    Featureless EMG Pattern Recognition Based On Convolutional Neural Network by Abdullah, Abdul Rahim, Too, Jing Wei, Mohd Saad, Norhashimah, Mohd Ali, Nursabillilah, Tengku Zawawi, Tengku Nor Shuhada

    Published 2019
    “…The TFRs or spectrogram images are then directly fed into the convolutional neural network (CNN) for classification. …”
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  15. 15
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…The aim of data mining is to search and find undetermined patterns in huge databases. A well known task is classification that predicts the class of new instances using known features or attributes automatically. …”
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  16. 16
    Character classification for license plate recognition system based on image processing using MATLAB

    Character classification for license plate recognition system based on image processing using MATLAB by Hashim, Mustafa Adil

    Published 2016
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  17. 17
    Hellinger distance decision tree (HDDT) classification of gender with imbalance statistical face features / Muhamad Hasbullah Mohd Razali, Muhammad Farhan Muhammad and Balkiah Moktar

    Hellinger distance decision tree (HDDT) classification of gender with imbalance statistical face features / Muhamad Hasbullah Mohd Razali, Muhammad Farhan Muhammad and Balkiah Mokt... by Mohd Razali, Muhamad Hasbullah, Muhammad, Muhammad Farhan, Moktar, Balkiah

    Published 2018
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  18. 18
    2D and 3D video scene text classification

    2D and 3D video scene text classification by Xu, J., Shivakumara, P., Lu, T., Tan, C.L.

    Published 2014
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  19. 19
    Multilevel learning in Kohonen SOM network for classification problems

    Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

    Published 2006
    “…Classification is the procedure of recognizing classes of patterns that occur in the environment and assigning each pattern to its relevant class. …”
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  20. 20
    A survey of fuzzy min max neural networks for pattern classification: variants and applications

    A survey of fuzzy min max neural networks for pattern classification: variants and applications by Al Sayaydeh, Osama Nayel, Mohammed, Mohammed Falah, Lim, Chee Peng

    Published 2018
    “…This division facilitates understanding of the improvements on the original FMM model, as well as enables identification of the limitations that still exist in various FMM-based models. We also summarize the use of FMM and its variants in solving different benchmark and real-world pattern classification problems. …”
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