Search Results - (( process optimization problems algorithm ) OR ( image classification using algorithm ))

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  1. 1

    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
    “…For the image enhancement process, this thesis has proposed high-pass filter combined with histogram equalization and de-haze algorithm respectively to improve the visual quality of fundus images. …”
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    Thesis
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    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…The benchmark of the classification algorithm for CA is needed to analyze the optimal output of the algorithm. …”
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    Thesis
  4. 4

    Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques by Pethuraj, Mohamed Shakeel, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

    Published 2022
    “…Finally, the lung cancer is identified using Autoencoder based Recurrent Neural Network (ARNN) classification algorithm, successfully recognizing the lung cancer features. …”
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    Article
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    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…Through the use of a hybrid deep learning model that combines vision transformer and convolutional neural networks for classification, the algorithm can be optimized. …”
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    Article
  7. 7

    AUTOMATED VEHICLE COUNTING AND CLASSIFICATION SYSTEM FOR TRAFFIC CENSUS by MOHMOOD NOR, MOHD NAZIF HAWARI

    Published 2012
    “…This device is costly and once installed, it cannot be removed. To overcome this problem, an automated traffic census system based on image processing is introduced which can be used to count and to classify the classes of the vehicle. …”
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    Final Year Project
  8. 8

    Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules by Wiliani, Ninuk

    Published 2023
    “…Experiments also compare the size of the image as input, using relu activation and adam optimization. …”
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    Thesis
  9. 9

    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

    Published 2009
    “…Object extraction and object recognition are typical applications that use segmentation as a low level image processing. …”
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    Thesis
  10. 10

    Extraction of forest plantation extents using majority voting classification fusion algorithm by Saharkhiz, Maryam Adel, Pradhan, Biswajeet, Rizeei, Hossein Mojaddadi, Mohamed Shariff, Abdul Rashid

    Published 2018
    “…Three different classifiers methods (support vector machine, k-nearest neighborhood, and random forest) were employed and then fused by majority voting algorithm to generate more robust and precise classification result. …”
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    Conference or Workshop Item
  11. 11

    Face emotion recognition using artificial intelligence techniques by Kartigayan Muthukaruppan

    Published 2008
    “…The fitness functions are utilized by genetic algorithm (GA) to find the optimized values of minor axes. …”
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    Thesis
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    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system by Seyed Mohammad Hussein, Ahmad, Siti Anom, Hassan, Mohd Khair, Ishak, Asnor Juraiza

    Published 2013
    “…The results show the outperformance of the two proposed methods for image processing and optimized classifier for classification part. …”
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    Article
  14. 14

    Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus by Azizul Firdaus, Muhammad Ariiq Iqbaal

    Published 2025
    “…The conjugate gradient (CG) method is widely recognised as one of the most efficient numerical methods for solving unconstrained optimization problems. Various studies have been undertaken by implementing the CG method in image restoration, optimal rocket landing guidance and motion control field. …”
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    Thesis
  15. 15

    A hierarchical deep convolutional neural network for asphalt pavement crack detection and classification / Nor Aizam Muhamed Yusof by Muhamed Yusof, Nor Aizam

    Published 2021
    “…As for the second part involving the crack classification process, DCNN-2 is proposed to classify the detected crack images, obtained from the previous step. …”
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    Thesis
  16. 16

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…The third objective is to optimize the land use map using economic benefits. …”
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    Thesis
  17. 17

    An Optimized Semantic Segmentation Framework for Human Skin Detection by Huong, Audrey, Ngu, Xavier

    Published 2024
    “…Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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    Article
  18. 18

    A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks by , Abdul Wahid, Khan, Adnan Umar, , Mukhtarullah, Khan, Sheroz, Shah, Jawad

    Published 2019
    “…The multilayered version of CSC(ML-CSC) is shown to be connected to forward pass of CNNs and dictionary learning and sparse coding algorithms of this model are analyzed for solving classification and inverse problems in image processing. …”
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    Proceeding Paper
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    Real-time oil palm fruit bunch ripeness grading system using image processing techniques by Alfatni, Meftah Salem M.

    Published 2013
    “…In this research, a real time oil palm grading system was built and an image processing techniques algorithm was developed based on the external features of oil palm fresh fruit bunches (FFB) such as colour, texture, and thorns. …”
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    Thesis
  20. 20

    Mobile application: coin identification using machine learning / Dania Qistina Mohd Nazly by Mohd Nazly, Dania Qistina

    Published 2021
    “…Due to a lack of exposure in image processing and the numerous designs of Malaysia coins, mobile coin identification technology is still not widely employed in Malaysia. …”
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    Thesis