Search Results - (( model evaluation cell algorithm ) OR ( writer classification using algorithm ))

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  1. 1

    Improved random forest for feature selection in writer identification by Sukor, Nooraziera Akmal

    Published 2015
    “…Important features are measured by using Variable Importance (VI). While Mean Absolute Error (MAE) values use to identify the variance between writers, VI value was used for splitting process in tree and MAE value is to ensure the intra-class (same writer) invariance is lower than inter-class (different writer) invariance because lower intra-class invariance indicates accuracy to the real author. …”
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    Thesis
  2. 2

    Discretization of integrated moment invariants for writer identification by Draman @ Muda, Azah Kamilah, Shamsuddin, Siti Maryam, Darus, Maslina

    Published 2008
    “…The results disclose that the proposed discretized invariants reveal 99% accuracy of classification by using 3520 training data and 880 testing data.…”
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  3. 3

    A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis by Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Its principal point is in forensics and biometric application as such the writing style can be used as bio-metric features for authenticating the identity of a writer. …”
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    Book Chapter
  4. 4

    A new swarm-based framework for handwritten authorship identification in forensic document analysis by Pratama, Satrya Fajri, Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Its principal point is in forensics and biometric application as such the writing style can be used as bio-metric features for authenticating the identity of a writer. …”
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    Book Chapter
  5. 5

    Arabic Calligraphy Classification using Triangle Model for Digital Jawi Paleography Analysis by Azmi, Mohd Sanusi, Muda, A. K.

    Published 2011
    “…Calligraphy classification of the ancient manuscripts gives useful information to paleographers. …”
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  6. 6

    Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

    Published 2018
    “…Secondly, in this research, an empirical dynamic model of the PEM fuel cell system in vehicles was analyzed and validated using the system identification method……”
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    Book Section
  7. 7

    Arabic Calligraphy Classification using Triangle Model for Digital Jawi Paleography Analysis by Mohd Sanusi, Azmi, Azah Kamilah, Muda

    Published 2011
    “…Calligraphy classification of the ancient manuscripts gives useful information to paleographers. …”
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  8. 8

    Identifying and estimating solar cell parameters using an enhanced slime mould algorithm by Logeswaary, Devarajah, Mohd Ashraf, Ahmad, Jui, Julakha Jahan

    Published 2024
    “…This study proposed an enhanced slime mould algorithm (ESMA) for identifying the solar cells’ parameters for five photovoltaic (PV) models, making two modifications to the original slime mould algorithm (SMA). …”
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    Article
  9. 9

    Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms by AbuSalim, S.W.G., Mostafa, S.A., Mustapha, A., Ibrahim, R., Wahab, M.H.A.

    Published 2023
    “…A blog is a platform where a writer or group of writers gives their opinion on a specific topic. …”
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    Article
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    Features Extraction of Arabic Calligraphy using extended Triangle Model for Digital Jawi Paleography Analysis by Mohd Sanusi, Azmi, Muda, A. K., Khadijah Wan, Mohd Ghazali

    Published 2013
    “…The style of writing or calligraphy applied in ancient manuscripts gives useful information to paleographers. The information helps paleographer to identify date, writer, number of writers, place of origin, and the originality of manuscripts. …”
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    Article
  12. 12

    Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm by Manoharan P., Ravichandran S., Kavitha S., Tengku Hashim T.J., Alsoud A.R., Sin T.C.

    Published 2025
    “…An accurate model of these FCs is essential to evaluate their performance accurately. …”
    Article
  13. 13

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…The HM emerges as a dominant strategy, driven by the Multi-Objective Differential Evolution (MODE) algorithm under literature-based control parameter settings for the mathematical model. …”
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    Thesis
  14. 14

    Invariants discretization for individuality representation in handwritten authorship by Draman @ Muda, Azah Kamilah, Shamsuddin, Siti Mariyam, Darus, Maslina

    Published 2008
    “…Its focal point is in forensics and biometric application as such the writing style can be used as biometric features for authenticating a writer. …”
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    Conference or Workshop Item
  15. 15

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyou, Al-Hareth, Ahmed, Musse Mohamud, Hameed, Shihab A, Azman, Amelia Wong, Islam, Md Rafiqul

    Published 2015
    “…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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    Article
  16. 16

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyoud, Al-Hareth, Musse, Mohamud Ahmed, Hameed, Shihab A., Azman, Amelia Wong, Islam, Md. Rafiqul

    Published 2014
    “…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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    Proceeding Paper
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    An integrated priority-based cell attenuation model for dynamic cell sizing by Amphawan, Angela, Omar, Mohd Nizam, Din, Roshidi

    Published 2012
    “…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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    Article
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