Search Results - ((slicing algorithm) OR (learning algorithm))

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  1. 1
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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  2. 2
    An efficient and effective case classification method based on slicing

    An efficient and effective case classification method based on slicing by Shiba, Omar A. A., Sulaiman, Md. Nasir, Mamat, Ali, Ahmad, Fatimah

    Published 2006
    “…The algorithms are: Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5). …”
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  3. 3
    An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa

    An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa by Muhd Suberi, Anis Azwani

    Published 2020
    “…The algorithm framework consists of hybrid of improved Xception model and YOLO V2 detector to classify the PF slices with ischemic and localise the infarction in classified slices, respectively. …”
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  4. 4
    Single Slice Grouping Mechanism for Recognition of Cursive Handwritten Courtesy Amounts of Malaysian Bank Cheques

    Single Slice Grouping Mechanism for Recognition of Cursive Handwritten Courtesy Amounts of Malaysian Bank Cheques by Sulaiman, Md. Nasir, Khalid, Marzuki

    Published 2003
    “…A three layer neural Network architecture with the new error function of Backpropagation learning algorithm is used. This approach yields good recognition results with faster convergence rates.…”
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  5. 5
    Towards a better feature subset selection approach

    Towards a better feature subset selection approach by Shiba, Omar A. A.

    Published 2010
    “…The selection of the optimal features subset and the classification has become an important issue in the data mining field.We propose a feature selection scheme based on slicing technique which was originally proposed for programming languages.The proposed approach called Case Slicing Technique (CST).Slicing means that we are interested in automatically obtaining that portion 'features' of the case responsible for specific parts of the solution of the case at hand.We show that our goal should be to eliminate the number of features by removing irrelevant once.Choosing a subset of the features may increase accuracy and reduce complexity of the acquired knowledge.Our experimental results indicate that the performance of CST as a method of feature subset selection is better than the performance of the other approaches which are RELIEF with Base Learning Algorithm (C4.5), RELIEF with K-Nearest Neighbour (K-NN), RELIEF with Induction of Decision Tree Algorithm (ID3) and RELIEF with Naïve Bayes (NB), which are mostly used in the feature selection task.…”
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  6. 6
    An experimental evaluation of case slicing as a new classification technique

    An experimental evaluation of case slicing as a new classification technique by Shiba, Omar A. A., Sulaiman, Md. Nasir, Ahmad, Fatimah, Mamat, Ali

    Published 2003
    “…Lastly, it compares the proposed approach with other selected approaches such as the K-Nearest Neighbour (K-NN), Base Learning Algorithm (C4.5) and Naïve Bayes classifier (NB) in solving the classification problems. …”
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  7. 7
    Slice sampler algorithm for generalized pareto distribution

    Slice sampler algorithm for generalized pareto distribution by Rostami, Mohammad, Adam, Mohd Bakri, Yahya, Mohamed Hisham, Ibrahim, Noor Akma

    Published 2018
    “…In this paper, we developed the slice sampler algorithm for the generalized Pareto distribution (GPD) model. …”
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  8. 8
    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data

    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data by Rostami, Mohammad

    Published 2016
    “…In this research, application of extreme value theory within a Bayesian framework using the Metropolis Hastings algorithm and the slice sampler algorithm as an alternative approach, has been introduced. …”
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  9. 9
    Combining deep and handcrafted image features for MRI brain scan classification

    Combining deep and handcrafted image features for MRI brain scan classification by Hasan, Ali M., Jalab, Hamid A., Meziane, Farid, Kahtan, Hasan, Al-Ahmad, Ahmad Salah

    Published 2019
    “…In this paper, a deep learning feature extraction algorithm is proposed to extract the relevant features from MRI brain scans. …”
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  10. 10
    Optimum Slice Reduction Algorithm For Fast Surface Reconstruction From Contour slices [QA571. T164 2007 f rb].

    Optimum Slice Reduction Algorithm For Fast Surface Reconstruction From Contour slices [QA571. T164 2007 f rb]. by Tang, Sze Ling

    Published 2007
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  11. 11
    Real-time slicing algorithm for Stereolithography (STL) CAD model applied in additive manufacturing industry

    Real-time slicing algorithm for Stereolithography (STL) CAD model applied in additive manufacturing industry by F. A., Adnan, F. R. M., Romlay, Nasir, Shafiq

    Published 2018
    “…Owing to the advent of the industrial revolution 4.0, the need for further evaluating processes applied in the additive manufacturing application particularly the computational process for slicing is non-trivial. This paper evaluates a real-time slicing algorithm for slicing an STL formatted computer-aided design (CAD). …”
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  12. 12
    Optimum Slice Reduction Algorithm For Fast Surface Reconstruction From Contour Slices

    Optimum Slice Reduction Algorithm For Fast Surface Reconstruction From Contour Slices by Tang, Sze Ling

    Published 2007
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  13. 13
    Multithreading Prioritization Concurrently by using an Effective Dynamic Slicing Algorithm

    Multithreading Prioritization Concurrently by using an Effective Dynamic Slicing Algorithm by Maysoon, A. Mohammed, Mazlina, Abdul Majid, Mohammed Adam, Ibrahim Fakharaldien, Balsam, A. Mustafa

    Published 2014
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  14. 14
    A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree

    A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree by Rahim At Samsuddin, H. A., Ab. Rahman, A. A. H., Andaljayalakshmi, G., Ahmad, R. B.

    Published 2008
    “…Experimental results on Microelectronics Center of North Carolina (MCNC) benchmark problems show that the developed algorithm achieves an acceptable performance quality to the slicing floorplan. …”
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  15. 15
    Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation

    Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation by Shamsuddin, A.A.S., Purnomo, E.W., Ghosh, D.P.

    Published 2020
    “…The main objective of this study is to map potential fracture density based on a new integrated study of a fractured basement area. A machine learning algorithm of well log fracture density - borehole image log (BHI) guided seismic inversion was performed. …”
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  16. 16
    Automated plant classification system using a hybrid of shape and color features of the leaf

    Automated plant classification system using a hybrid of shape and color features of the leaf by Hamid, Laith Emad

    Published 2016
    “…Automated plant leaf classification is a computerized approach that employs computer vision and machine learning algorithms to identify a plant based on the features of its leaf. …”
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  17. 17
    Slice sampling technique in Bayesian extreme of gold price modelling

    Slice sampling technique in Bayesian extreme of gold price modelling by Rostami, Mohammad, Adam, Mohd Bakri, Ibrahim, Noor Akma, Yahya, Mohamed Hisham

    Published 2013
    “…This study revealed that slice sampling algorithm offers more accurate and closer estimates with less RMSE than other methods. …”
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  18. 18
    Contour generation for mask projection stereolithography 3D printing

    Contour generation for mask projection stereolithography 3D printing by Faeiz Azizi, Adnan

    Published 2019
    “…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. The algorithm composes of multiple algorithms such as slicing algorithm, pixel line mapping algorithm, and the contour loop algorithm. …”
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  19. 19
    Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system

    Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system by -, -

    Published 2019
    “…The real-time contour generation approach instantly generates single layer of contour whenever the build height parameter is fed into the algorithm. The algorithm composes of multiple algorithms such as slicing algorithm, pixel line mapping algorithm, and the contour loop algorithm. …”
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  20. 20
    A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree

    A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree by Hasliza, A. Rahim@Samsuddin, Ab Rahman, A. A H, Andaljayalakshmi, G., R. Badlishah, Ahmad, Wan Nur Suryani Firuz, Wan Ariffin

    Published 2009
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