Search Results - (( program segmentation using algorithm ) OR ( parameter representation using algorithm ))

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  1. 1
    A new corner detection algorithm for chain code representation.

    A new corner detection algorithm for chain code representation. by Haron , Habibollah, Shamsuddin , Siti Mariyam, Mohamed, Dzulkifli

    Published 2005
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  2. 2
    Switching algorithm to avoid attitude representation singularity

    Switching algorithm to avoid attitude representation singularity by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2009
    “…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. …”
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    Proceeding Paper
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  3. 3
    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…For each proposed soft computing technique, parameter tuning is done as an essential study. The sum of squares error (SSE) is used as an objective function. …”
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    Thesis
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  4. 4
    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset

    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset by Chiang, Yi Fan

    Published 2017
    “…In post-processing, the contour of liver is smooth by binary Gaussian filter. The liver segmentation program with proposed algorithm is evaluated with CT datasets obtained from SLIVER07 to prove its effectiveness in liver segmentation. …”
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    Monograph
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  5. 5
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
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  6. 6
    Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar

    Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar by Abdul Ghafar, Nor Hamidah

    Published 2005
    “…The binary representation was used for the input node of neural network for back propagation training algorithm. …”
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  7. 7
    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…CE is a new algorithm that was recently developed using probability. …”
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  8. 8
    Modified word representation vector based scalar weight for contextual text classification

    Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

    Published 2024
    “…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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  9. 9
    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. …”
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  10. 10
    Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements

    Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements by Abdalla HASSABALLA, Abdalhaleem, MATORI , Abdul Nasir, Mohd SHAFRI, Helmi Zulhaidi

    Published 2013
    “…Moisture content parameters were calculated, and then the moisture content algorithm was generated accordingly for the two study locations with three different “Split-window” algorithms and finally a spatial validation of satellite θ algorithms was conducted for accuracy assessment. …”
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  11. 11
    Framework for stream clustering of trajectories based on temporal micro clustering technique

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
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  12. 12
    Time-Frequency Analysis of FSK Digital Modulation Signals using the Smooth Lag-Windowed Wigner-Ville Distribution.

    Time-Frequency Analysis of FSK Digital Modulation Signals using the Smooth Lag-Windowed Wigner-Ville Distribution. by Sha'ameri, Ahmad Zuri

    Published 2003
    “…The algorithm generates the time-frequency representation directly based on the signal characteristics. …”
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  13. 13
    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu

    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…The project used Back-propagation Neural Network for the algorithm to classified images. …”
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  14. 14
    Word segmentation of output response for sign language devices

    Word segmentation of output response for sign language devices by Za'bah, Nor Farahidah, Muhammad Nazmi, Ahmad Amierul Asyraf, Azman, Amelia Wong

    Published 2020
    “…The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. …”
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  15. 15
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…Three algorithms were used to accomplish the task of feature representation. …”
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  16. 16
    Switching principles to circumvent Euler angle singularity

    Switching principles to circumvent Euler angle singularity by Okasha, Mohamed Elsayed Aly Abd Elaziz, Newman, Brett

    Published 2010
    “…This description may possess computational savings and allow continued use of insightful variables when compared with nonminimal representations such as Euler parameters. …”
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  17. 17
    Single parent mating in genetic algorithm for real robotic system identification

    Single parent mating in genetic algorithm for real robotic system identification by Abd Samad, Md Fahmi, Zainuddin, Farah Ayiesya

    Published 2023
    “…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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  18. 18
    Supervised retinal vessel segmentation based on neural network using broader aging dataset

    Supervised retinal vessel segmentation based on neural network using broader aging dataset by Che Azemin, Mohd Zulfaezal, Abd Hamid, Fadilah, Mohd Tamrin, Mohd Izzuddin, Muhamad Amin, Anang Hudaya

    Published 2014
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  19. 19
    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures

    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

    Published 2020
    “…A total of sixty anomaly detectors were trained by authors using twelve conventional Machine Learning algorithms to compare the performance of aforementioned deep representations with that of a human-engineered handcrafted network data representation. …”
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  20. 20
    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector

    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector by Ibrahim, Haidi, Ooi, Alexander Ze Hwan, Soo, Siang Teoh, Embong, Zunaina, Abd Hamid, Aini Ismafairus, Zainon, Rafidah, Shir, Li Wang, Theam, Foo Ng, Hamzah, Rostam Affendi

    Published 2021
    “…The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. …”
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