Search Results - (( model validation new algorithm ) OR ( _ identification system algorithm ))

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  1. 1

    Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

    Published 2016
    “…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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    Thesis
  2. 2

    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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    Thesis
  3. 3

    Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

    Published 2017
    “…According to the experimental results, COOBSKF provides average of maximum model validation up to 90%. This technique can be an alternative approach to solve system identification problem, apart from using conventional method.…”
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    Thesis
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    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…The model was tested using an untrained input data set in order to verify the Proposed model’s capability for implementing a self-calibration algorithm. …”
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    Thesis
  6. 6

    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm by Talib, Nihad Hasan

    Published 2020
    “…It solved the multi-objective functions of RNP challenge. In the validation process, the results showed a superior finding compared to the firefly algorithm. …”
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    Thesis
  7. 7

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

    Published 2017
    “…Meanwhile, there has also been a pressing need for real-time monitoring to avoid sudden catastrophic disasters. Therefore, a new reference-free damage detection algorithm is proposed. …”
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    Thesis
  8. 8

    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network by M. Almassri, Ahmed M., Wan Hasan, Wan Zuha, Ahmad, Siti Anom, Shafie, Suhaidi, Wada, Chikamune, Horio, Keiichi

    Published 2018
    “…To verify the proposed model’s capability to build a self-calibration algorithm, the model was tested using an untrained input data set. …”
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    Article
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    Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning by Ng, Woon Li

    Published 2021
    “…Hence, the SVM model with cubic kernel is exported as a MATLAB function to make predictions for the new data. …”
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    Monograph
  11. 11

    Design of nonlinear adaptive interaction algorithm controller for improvement of tracking performance of X-Y table ball screw drive system by Retas, Zain

    Published 2023
    “…Firstly, to identify the mathematical model of machine tool for XY table using system identification technique through frequency response function (FRF) of the system. …”
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    Thesis
  12. 12

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

    Published 2020
    “…A new design concept is established for the patient identification mechanism, where the mechanism is embedded in the source device to enhance the ability of the system to automatically assign the identification number to each blood glucose measurement (mmol/L) during multiple patients monitoring. …”
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    Thesis
  13. 13

    Fuzzy logic controller design for a small scale industrial hot air blower heating and ventilation system by Rahmat, Mohd Fua'ad, Mohd Subha, Nurul Adilla, Jusoff, Kamaruzaman, Abdul Wahab, Norhaliza

    Published 2010
    “…Instead of using two input (e, e) in the conventional FLC, this method simplifies the number of input by deriving new solitary input variable known as signed distance, d To verify its effectiveness, this control method is stimulated and performs an online using System Identification approach shile the real plant model is developed by interfacing the Real-time Windows Target toolbox in Matlab with real VVS-plant using data acquisition (DAQ) card PCI-1711. …”
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    Article
  14. 14

    An Automated Method For Model-Plant Mismatch Detection And Correction In Process Plants Employing Model Predictive Control (MPC) by Ahmed Bahakim, Sami Saeed

    Published 2012
    “…A model-predictive controller (MPC) uses the process model to predict future outputs of the system. …”
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    Final Year Project
  15. 15

    Nanoparticles enhanced laser-induced breakdown spectroscopy for characterisation and discrimination of gemstones by Al-Juboori, Haider, Haider, Zhaib, Hang, Wei, Roslan, Sufi

    Published 2024
    “…The PLS-DA model was trained and validated using a 4- fold cross-validation approach. …”
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    Conference or Workshop Item
  16. 16

    Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning by Yousefidashliboroun, Mamehgol

    Published 2022
    “…These models’ performance is validated statistically and empirically considering the average accuracy, recall, precision, and F-measure in classifying the present datasets. …”
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    Thesis
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    Improved Cheating Detection in Examinations using YOLOv8 with Attention Mechanism by YAN, ZUO

    Published 2025
    “…This system utilizes the advanced capabilities of the YOLOv8 model, optimized for speed and efficiency, making it suitable for deployment on regular- performance computers. …”
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    Thesis
  19. 19

    LSR-YOLO: a lightweight and fast model for retail products detection by Zhao, Yawen, Solihin, Mahmud Iwan, Yang, Defu, Cai, Bingyu, Chow, Li Sze, Handayani, Dini Oktarina Dwi, Prabuwono, Anton Satria

    Published 2025
    “…With only 2,114,768 parameters and 6.6 GFLOPs, it is also significantly lighter than advanced models such as YOLOv11. Furthermore, validation on the COCO dataset confirms the model’s superior generalization ability, underscoring its advantages in both accuracy and computational efficiency.…”
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    Article
  20. 20

    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation by Chang, Jan Voon

    Published 2015
    “…(Abdulrahim et al., 2014) proposed a new algorithm, called New Improved Round Robin (NIRR) to enhance the Round Robin scheduling algorithm. …”
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    Thesis