Search Results - (( square extraction method algorithm ) OR ( using function method algorithm ))

Refine Results
  1. 1

    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification by Hijazi, Musab, Zeki, Akram M., Ismail, Amelia Ritahani

    Published 2023
    “…In this paper, the filter method chi square and the Artificial Bee Colony) ABC algorithm were both used as FS methods . …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

    Published 2013
    “…To do that I used the root mean square error function and Schwarz bayesian criterion as model selection criteria. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency by Ghazanfar, Latif, Dayang Nur Fatimah, Binti Awg Iskandar, Jaafar, Alghazo, Arfan, Jaffar

    Published 2018
    “…Aims: This research aims to improve automated brain MR image classification and tumor segmentation using phase congruency. Methods: The skull part is removed from brain MR image by applying converging square algorithm and phase congruency based edge detection method. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4
  5. 5

    Transmission lines modelling based on RLC passive and active filter design by Turki, Ahmed Qasim, Mailah, Nashiren Farzilah, Sabry, Ahmad H.

    Published 2017
    “…This research proposes a new method for modelling the transmission line based on a rational approximation function which can be extracted through the Vector Fitting (VF) method, based on the frequency response measured data points. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Human odour detection approach using machine learning by Ahmed Qusay Sabri

    Published 2019
    “…Two feature selection methods Entropy and Chi Square tests were used to identify and determine the best and most acceptable voes. …”
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

    Published 2014
    “…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
    Get full text
    Get full text
    Conference or Workshop Item
  8. 8

    FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit by Saleh, Mohammed S M, Siddiqui, Mohammad Jamshed Ahmad, Mat So'ad, Siti Zaiton, Khatib, Alfi

    Published 2017
    “…Multivariate analysis with combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the α-glucosidase inhibitory activity of the samples with the infrared spectral data. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  9. 9

    A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping by Althuwaynee, Omar F., Pradhan, Biswajeet, Park, Hyuck Jin, Lee, Jung Hyun

    Published 2014
    “…An ensemble algorithm of data mining decision tree (DT)-based CHi-squared Automatic Interaction Detection (CHAID) is widely used for prediction analysis in variety of applications. …”
    Get full text
    Get full text
    Article
  10. 10
  11. 11

    Adaptive resonance theory-based hand movement classification for myoelectric control system by Fariman, Hessam Jahani

    Published 2014
    “…First evaluation considers the investigation of feature extraction method; where the proposed multi-feature consisting of Mean Absolute Value (MAV), Zero Crossing (ZC), Waveform Length (WL), Slope Sign Change (SSC), Root Mean Square (RMS), and Mean Frequency (MNF) has been compared to 2 well-known high accuracy and simple multi-feature methods. …”
    Get full text
    Get full text
    Thesis
  12. 12

    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

    Published 2020
    “…Next, the forty joints with 1400 joint features acquired from X- and Y-plane via Kinect are further extracted using Orthogonal Least Squares (OLS) yielded twenty four significant joints and 840 gait features. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer by Mas Ira Syafila, Mohd Hilmi Tan

    Published 2023
    “…The non-destructive method using NIRS with ML and predictive analytics has the potential to be a highly sensitive and reliable method for the early detection of G. boninense. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network by Chiu, Po Chan, Ali, Selamat, Ondrej, Krejcar, Kuok, King Kuok, Enrique, Herrera-Viedma, Giuseppe, Fenza

    Published 2021
    “…First, we propose a novel pre-processing mechanism for non-precipitation data by using principal component analysis (PCA). Before the imputation, PCA is used to extract the most relevant features from the meteorological data. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Enhancing clustering algorithm with initial centroids in tool wear region recognition by Kasim, Nur Adilla, Nuawi, Mohd Zaki, Abdul Ghani, Jaharah, Ngatiman, Nor Azazi, Che Haron, Che Hassan, Muhammad Rizal

    Published 2020
    “…F-Km is found to be more accurate, time savvy and robust than standard K-means and K-means + +. Therefore, the method can be reliably used for observing tool wear state recognition without training and equivocate traditional direct tool wear.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

    Published 2023
    “…Algorithms; Diodes; Errors; Iterative methods; Least squares approximations; Mean square error; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Coefficient of determination; Differential Evolution; Electromagnetism-like algorithm; Hybrid evolutionary algorithm; Photovoltaic; Photovoltaic modules; Root mean square errors; Single-diode models; Evolutionary algorithms; algorithm; comparative study; electromagnetic method; estimation method; experimental design; numerical method; parameterization; performance assessment; photovoltaic system…”
    Article
  17. 17

    Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition by Burhan, Nuradebah

    Published 2018
    “…Subsequently,the filtered signal containing useful information was extracted by three methods  root mean square (RMS),mean absolute value (MAV),and autoregressive (AR) covariance,all of which are commonly used in TD.A comparative analysis of the three different techniques was performed based on the accuracy performance of the EMG pattern classification using linear vector quantization (LVQ) neural network.In the experimental work undertaken,six healthy subjects comprised of males and females were selected. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Parameters extraction of double diode photovoltaic module's model based on hybrid evolutionary algorithm by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

    Published 2023
    “…Algorithms; Diodes; Errors; Extraction; Iterative methods; Mean square error; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Differential evolution algorithms; Diode modeling; Electromagnetism-like algorithm; Fast convergence speed; Hybrid evolutionary algorithm; IV characteristics; Photovoltaic model; Root mean square errors; Evolutionary algorithms…”
    Article
  19. 19
  20. 20

    Efficient Big Integer Multiplication and Squaring Algorithms for Cryptographic Applications by Jahani, Shahram, Samsudin, Azman, Subramanian, Kumbakonam Govindarajan

    Published 2014
    “…Compared to the adopted classical and Karatsuba multiplication algorithms for squaring, the proposed squaring algorithm is 2 to 3.7 and 7.9 to 2.5 times faster for squaring 32-bit and 8-Kbit numbers, respectively. …”
    Get full text
    Get full text
    Get full text
    Article