Search Results - (( parameter implementation based algorithm ) OR ( parameter estimation sensor algorithm ))

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  1. 1

    Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa'

    Published 2025
    “…The peak detection algorithm identifies key signal features, while PSO optimizes the peak prominence and width parameters to minimize the mean absolute error (MAE) in chew count estimation. …”
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    Article
  2. 2

    Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa’

    Published 2025
    “…The peak detection algorithm identifies key signal features, while PSO optimizes the peak prominence and width parameters to minimize the mean absolute error (MAE) in chew count estimation. …”
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    Article
  3. 3

    A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf. by Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Kabiri, Keivan, Samim-Namin, Kaveh

    Published 2013
    “…Since the aforementioned algorithm has been developed for other types of sensors, an approach using weighted mean value of parameters for SeaWiFS, MERIS, VIIRS, and OCTS sensors were employed to estimate parameter values for QuickBird image. …”
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    Article
  4. 4

    Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey by Ali, J.M., Hussain, Mohd Azlan, Tade, M.O., Zhang, J.

    Published 2015
    “…Hence, in this paper, we provide a broad literature survey of several AI algorithms implemented as estimators in chemical systems together with their advantages, limitations, practical implications and comparisons between one another to guide researchers in selecting and designing the AI-based estimators. …”
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    Article
  5. 5

    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor by Hafz Nour, Mutasim Ibrahim

    Published 2008
    “…An estimation method based on the back EMF and flux estimation is presented to calculate the rotor position for medium to high speed. …”
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    Thesis
  6. 6

    A hybrid algorithm of source localization based on hyperbolic technique in WSN by Kabir, H., Kanesan, J., Reza, A.W., Ramiah, H.

    Published 2014
    “…In this paper, a hybrid method combined with maximum likelihood (ML) and genetic algorithm (GA) are proposed to determine the instantaneous position of the moving source by estimating the position and velocity based on hyperbolic techniques (TDOA and FDOA). …”
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    Conference or Workshop Item
  7. 7

    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

    Published 2017
    “…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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    Thesis
  8. 8

    Feature points selection for markerless hand pose estimation by Morshidi, Malik Arman, Tjahjadi, Tardi

    Published 2015
    “…Markerless hand pose estimation as a continuous tracking of rigid planar object is made possible using robust planar pose (RPP) algorithm implemented on a marker-based Augmented Reality Toolkit (ARToolkit) library. …”
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    Proceeding Paper
  9. 9

    Covariance matrix analysis in simultaneous localization and mapping by Nur Aqilah, Othman

    Published 2016
    “…One of the biggest challenges in implementing H∞ filter-based SLAM is the manual parameter tuning. …”
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    Thesis
  10. 10

    Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation by Eissa, Magdy Abdullah, Sali, Aduwati, Ahmad, Faisul Arif, Darwish, Rania R.

    Published 2021
    “…This paper validated the system simulation by implementing fault detection algorithms by using a real-time embedded observer-based system. …”
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    Article
  11. 11

    Analysis of robot localisation performance based on extended kalman filter by Che Hassan, Farah Hazwani

    Published 2015
    “…First is the performance of the algorithm using different parameters in which different velocities and number of landmarks have been used to determine the accuracy of the localisation method. …”
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    Thesis
  12. 12

    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot by Muhammad Haniff, Gusrial, Muhammad Luqman Hakim, Abdullah, Nur Aqilah, Othman, Hamzah, Ahmad

    Published 2024
    “…One crucial parameter for implementing the Kalman Filter is the covariance matrix, which needs to be determined. …”
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    Conference or Workshop Item
  13. 13

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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  14. 14
  15. 15

    Embedded Dual Band Rfid Based Blood Glucose Monitoring System For Internet Of Medical Things by Hamid, Shabinar Abdul

    Published 2020
    “…In the reliability analysis using ANOVA and DOE statistical methods, the result validates that the number of hop and number of end node significantly affects the PDR performance of conventional CSMA/CA. These two parameters are then taken into account in experimental setup for performance evaluation of the enhanced CSMA/CA (EN-CSMA/CA) algorithm that uses an external interrupt mechanism and a cross layer approach. …”
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    Thesis
  16. 16

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan by Adenan, Muhammad Nasrul Hakim

    Published 2013
    “…The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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    Thesis
  17. 17

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli by Hakim Adenan, Muhammad Nasrul, Zolkapli, Maizatul

    Published 2013
    “…The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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    Article
  18. 18

    Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator by Annisa, Jamali, Intan Zaurah, Mat Darus, Mohammad Osman, Tokhi, Ana Sakura, Zainal Abidin

    Published 2018
    “…PType iterative learning algorithm (ILA) control scheme is implemented to adapt the controller parameters to meet the desired performances when there are changes to the system. …”
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    Proceeding
  19. 19

    Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator by Annisa, Jamali, Mat Darus, I. Z., Tokhi, M.O., Ana Sakura, Zainal Abidin

    Published 2018
    “…PType iterative learning algorithm (ILA) control scheme is implemented to adapt the controller parameters to meet the desired performances when there are changes to the system. …”
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    Proceeding
  20. 20

    A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

    Published 2016
    “…A parametric model based on Hill Muscle Model (HMM) to estimate the knee joint moment is developed for both experiments protocols. …”
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    Thesis