Search Results - (( knowledge segmentation technique algorithm ) OR ( java application optimisation algorithm ))

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  1. 1

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…Multi-layer perceptron (MLP) neural network trained using backpropagation algorithm is used to segment the color image. The results of color segmentation show that the algorithm is able to segment the images reliably with less appearance of small blobs. …”
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    Thesis
  2. 2

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Article
  3. 3
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    Old Jawi manuscript: Digital recognition / Zaidi Razak by Zaidi, Razak

    Published 2016
    “…The literature review in this research looks at works conducted in the past on line and character segmentation as well as recognition systems. The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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    Thesis
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    A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…Second, the datasets taken for the semantic segmentation task are not balanced since certain classes are present more than the others. …”
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    Article
  7. 7

    Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

    Published 2007
    “…HMM is a robust and powerful technique capable of modeling of speech signals. With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as it’s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. …”
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    Thesis
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    An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing by Hajyyev, Abdyrahym

    Published 2014
    “…The images obtained from MIVIA dataset has been manually segmented to cell level from the image level. Developing an automated segmentation algorithm might give better results.…”
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    Final Year Project
  10. 10

    Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

    Published 2016
    “…It will present an accurate and robust segmentation technique, which its results are going to use as input for fusion system in the following. …”
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    Thesis
  11. 11

    Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement by Abboud, Anas A.

    Published 2014
    “…This technique works automatically by detecting a seed point inside the region of interest (ROI), independently utilizing pre-knowledge of the region feature. …”
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    Thesis
  12. 12

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Thesis
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    EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique by Liew, Siaw Hong, Choo, Yun Huoy, Low, Yin Fen, Zeratul I., Mohd Yusoh

    Published 2018
    “…Theproposed IncFRNN technique is proven to be statistically better than the KNN technique in the controlled window sizeenvironment. …”
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    Article
  15. 15

    EEG-Based Biometric Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong, Choo, Yun Huoy, Yin, Fen Low, Mohd Yusoh, Zeratul Izzah

    Published 2018
    “…The proposed IncFRNN technique is proven to be statistically better than the KNN technique in the controlled window size environment. …”
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    Article
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    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…Several methods that related to this project also been derived through discussion about the image extraction, image preprocessing and some techniques about image segmentation. Gaining information from some resources such as articles and journals contribute various information and knowledge in process of investigation and discussion in order to make this project work smoothly. …”
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    Thesis
  18. 18

    Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach by Munnian, Ruthrakumar

    Published 2019
    “…Earlier studies in the handwriting recognition field were mostly focused on recognizing characters using Neural Network Language Model (NNLM) classifier, Hidden Markov Model (HMM), and Support Vector Machine (SVM) with segmentation technique, Hough Transform method, and structural features. …”
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    Monograph
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    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

    Published 2011
    “…For the third contribution, we have applied the Self-Training algorithm which is one of the semi-supervised machines learning technique. …”
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    Thesis
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    Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni by Behzad , Mahaseni

    Published 2021
    “…While the general problem of temporal segmentation in videos have been extensively addressed in the literature, to the best of our knowledge this work is the among the first to address the event localization problem in “long” football videos using end-to-end deep learning techniques. …”
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    Thesis