Search Results - differential ((extraction algorithm) OR (((detection algorithm) OR (selection algorithm))))

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  1. 1

    A Comparison Of The Different Algorithms For Essential Tremor And Parkinson’s Disease Tremor Differentiation Based On Hand Tremor by Boey, Keen Huang

    Published 2018
    “…A tremor detection algorithm based on tremor intensity, dominant frequency and length of tremor had been used to select recordings significance tremor of ET and PD for analysis. 43 postural recordings (ET, n= 8 and PD, n=35) and 43 rest tremor recordings (ET, n=4 and PD, n=39) had been selected. …”
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    Monograph
  2. 2

    Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method by Al-Mohair, Hani Kaid Saif

    Published 2017
    “…Additionally, the effect of combining texture information with color information is investigated with the aim of boosting the performance of skin classifiers. The Differential Evolution Algorithm (DE) is used in this work to select the optimum color and texture information to achieve the optimum response. …”
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    Thesis
  3. 3

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
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    Thesis
  4. 4

    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

    Published 2018
    “…Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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    Thesis
  5. 5

    Islanding detection method using ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud, Hizam, Hashim, Othman, Mohammad Lutfi, Mohd Radzi, Mohd Amran

    Published 2019
    “…A ridgelet probabilistic neural network (RPNN) is utilized to classify islanding and grid disturbances. A modified differential evolution (MDF) algorithm with a new mutation phase, crossover process, and selection mechanism is proposed to train the RPNN. …”
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    Article
  6. 6

    The noise reduction algorithm for star detection by Razaman, Anis Hannani, Ahmad, Yasser Asrul, Gunawan, Teddy Surya, Khalifa, Othman Omran, Saidin, Norazlina

    Published 2025
    “…This paper presents a noise reduction algorithm that enhances the detection of star blobs in noisy star images. …”
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    Article
  7. 7

    ABC: android botnet classification using feature selection and classification algorithms by Abdullah, Zubaile, Mohd Saudi, Madihah, Anuar, Nor Badrul

    Published 2017
    “…The Information Gain algorithm is used to select the most significant permissions, then the classification algorithms Naïve Bayes, Random Forest and J48 used to classify the Android apps as botnet or benign apps. …”
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    Article
  8. 8

    EMOTION RECOGNITION USING GALVANIC SKIN RESPONSE (GSR) SIGNAL by RAMOS UKAR, YAKOBUS

    Published 2022
    “…Moreover, the obtained dataset must be suitable for machine learning algorithms. Acquired results may help select proper GSR signals with emotional labels for further dataset pre-processing and feature extraction.…”
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    Final Year Project Report / IMRAD
  9. 9

    Development of novel distance relay scheme to prevent false tripping during power swing by Mohamad, Nor Zulaily

    Published 2017
    “…These two detection schemes are conceptually based on S-Transform feature extraction of the distance relay input signal. …”
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    Thesis
  10. 10

    A brief review on vessel extraction and tracking methods by Boroujeni, Farsad Zamani, Jahangard, Simindokht, O. K. Rahmat, Rahmita Wirza

    Published 2019
    “…Another approach is direct extraction of centerline points using exploratory tracing algorithm preceded by a seed point detection schema to provide a set of reliable starting points for the tracing algorithm. …”
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    Conference or Workshop Item
  11. 11

    Broken Conductor Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

    Published 2013
    “…It proposes an intelligent algorithm using the Fuzzy Subtractive Clustering Model (FSCM) to detect the high impedance fault. …”
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    Article
  12. 12

    A cascading fuzzy logic with image processing algorithm-based defect detection for automatic visual inspection of industrial cylindrical object’s surface by Ali, Mohammed A. H., Au, Kai Lun

    Published 2018
    “…The image processing algorithm has been developed to extract the main features of the tested objects such as defects, borders, and noise. …”
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    Article
  13. 13

    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2019
    “…The spectral features were performed by employing the relative spectral powers of delta (δRP), theta (θRP), alpha (αRP), beta (βRP), and gamma (γRP). The differential evolution-based channel selection algorithm (DEFS_Ch) was computed to find the most suitable EEG channels that have the greatest efficacy for identifying the various emotional states of the brain regions. …”
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    Conference or Workshop Item
  14. 14

    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

    Published 2013
    “…This paper presents the algorithm for HIF detection based on the amplitude of third and fifth harmonics of current, voltage and power. …”
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    Article
  15. 15

    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

    Published 2013
    “…An improvement to the conventional DE algorithm has been made to change it from its classical form to be possibly applied for ambiguous targets range detection for radar system. …”
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    Thesis
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    Computerized segmentation of sinus images by Iznita , I.L., Asirvadam , Vijanth Sagayan, Venkatachalam, P.A, Lee, S.N

    Published 2009
    “…These algorithms were able to extract important features from the images. …”
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    Conference or Workshop Item
  19. 19

    Segmentation of Sinus Images for Grading of Severity of Sinusitis by Iznita , I.L., Asirvadam , Vijanth Sagayan

    Published 2009
    “…This project attempts to develop a computerize system by developing algorithm for the segmentation of sinus images for the detection of sinusitis. …”
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    Book Section
  20. 20

    An enhance embedding method using edge and textures detection for image steganography by Al-Maliki, Alaa Jabbar Qasim

    Published 2024
    “…By embedding in noisy zones using edge and texture detection which complicates feature extraction, making hidden information more secure and statistically less detectable than basic LSB matching techniques. …”
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    Thesis