Search Results - (( java application reoptimize algorithm ) OR ( knowledge identification function algorithm ))

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  1. 1
    Discretization of integrated moment invariants for writer identification

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

    Published 2008
    “…Conservative regular moments have been proven to exhibit some shortcomings in the original formulations of moment functions in terms of scaling factor. Hence, an incorporated scaling factor of geometric functions into United Moment Invariant function is proposed for mining the feature of unconstrained words. …”
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  2. 2
    An Improved gSVM-SCADL2 with Firefly Algorithm for Identification of Informative Genes and Pathways

    An Improved gSVM-SCADL2 with Firefly Algorithm for Identification of Informative Genes and Pathways by Chan, Weng Howe, Mohd Saberi , Mohamad, Safaai , Deris, Corchado, Juan Manuel, Omatu, Sigeru, Zuwairie, Ibrahim, Shahreen, Kasim

    Published 2016
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  3. 3
    Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg

    Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg by Zakaria, Yuslina

    Published 2006
    “…Thus, in order to provide better access to relevant knowledge, the knowledge of metabolic pathway should be conceptualized and formalized using appropriate knowledge representation technique. …”
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  4. 4
    Effective query structuring with ranking using named entity categories for XML retrieval

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…Furthermore, it employs Predicates Identification Algorithm (PIA) and Entity Identification Algorithm (EIA) to identify user search intention. …”
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  5. 5
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…TCP factors and a weighted fitness function are also used for test case optimisation. …”
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  6. 6
    Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam

    Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam by Rustam, Ilham

    Published 2015
    “…Comparison results have shown that the pre-screening method has an essential role in determining an effective process representation especially in real-time multivariable identification framework where a priori knowledge is not available and would help in resultant model generalization performance as opposed to simply using all available model input variables. …”
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  7. 7
    Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan

    Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan by Ahmat Ruslan, Fazlina

    Published 2015
    “…Comparison results have shown that the pre-screening method has an essential role in determining an effective process representation especially in real-time multivariable identification framework where a priori knowledge is not available and would help in resultant model generalization performance as opposed to simply using all available model input variables. …”
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  8. 8
    Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control

    Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control by Mohd. Noor, Nurul Muthmainnah, Ahmad, Salmiah

    Published 2015
    “…Each fuzzy rule (FR) for this system is based on the form of IF-THEN rule. Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. …”
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  9. 9
    Data Classification and Its Application in Credit Card Approval

    Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

    Published 2004
    “…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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    Final Year Project
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  10. 10
    A hybrid cryptosystem for biometric authentication and template protection

    A hybrid cryptosystem for biometric authentication and template protection by Jegede, Abayomi Joshua

    Published 2017
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  11. 11
    Three-dimensional craniometrics identification model and cephalic index classification of Malaysian sub-adults: A multi-slice computed tomography study / Sharifah Nabilah Syed Mohd Hamdan

    Three-dimensional craniometrics identification model and cephalic index classification of Malaysian sub-adults: A multi-slice computed tomography study / Sharifah Nabilah Syed Mohd... by Sharifah Nabilah , Syed Mohd Hamdan

    Published 2024
    “…MIMICS software version 21.0 (Materialise, Leuven, Belgium) was used to construct 3D models and plane-to-plane (PTP) protocol was utilised to measure 14 selected craniometric parameters. Discriminant function analysis (DFA), binary logistic regression (BLR), and several machine learning (ML) algorithms (random forest (RF), support vector machines (SVM), and linear discriminant analysis (LDA)) were used to statistically analyse the data. …”
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  12. 12
    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process

    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

    Published 2008
    “…In addition, the characteristics of the model are studied and analyzed as well; in which include membership functions, shouldered membership functions and randomness. …”
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  13. 13
    Effective keyword query structuring using NER for XML retrieval

    Effective keyword query structuring using NER for XML retrieval by Roko, Abubakar, Doraisamy, Shyamala, Jantan, Azrul Hazri, Azman, Azreen

    Published 2015
    “…The experimental result shows that the XKQSS is about 20% more effective than XReal in terms of return nodes identification, a state-of-art systems for XML retrieval. …”
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  14. 14
    Zero distortion-based steganography for handwritten signature

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…To the best of our knowledge, this is the first time that a human handwritten signature sample is used for steganography application. …”
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  15. 15
    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation

    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

    Published 2004
    “…A simple yet effective rotor time constant identification method is presented and used for updating the slip calculator used by the IRFOC algorithms. …”
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  16. 16
    Computational stylometric model for oath and oath-like expressions in Quranic text

    Computational stylometric model for oath and oath-like expressions in Quranic text by Alqurneh, Ahmad

    Published 2014
    “…Next, is the lexical features bag, which include token-based features, short words features, word n-gram features, vocabulary richness functions, Hapax Legomena, Hapax Dislegomena, and frequent function words that discriminate oath-takers in achieving generalization. …”
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  17. 17
    Signal to noise ratio as a guideline to obtain valid auditory brainstem response results

    Signal to noise ratio as a guideline to obtain valid auditory brainstem response results by Dzulkarnain, Ahmad Aidil Arafat

    Published 2020
    “…Auditory brainstem response (ABR) is regards as one of the important tests to assess the auditory brainstem function and to estimate hearing thresholds. Whilst ABR is considered objective from the patient point of view, the interpretation of the ABR requires substantial knowledge from the perspective of an audiologist. …”
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