Search Results - (( developing function means algorithm ) OR ( model application testing algorithm ))

Search alternatives:

Refine Results
  1. 1
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…The developed THF-NLFXLMS algorithm is tested by means of simulation and implemented experimentally using FPGA-based real time controller for a nonlinear ANC application. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Hub Angle Control for A Single Link Flexible Manipulator Based on Cuckoo Search Algorithm

    Hub Angle Control for A Single Link Flexible Manipulator Based on Cuckoo Search Algorithm by aiman Azrael, Shaiful Nahar Sukri, Siti Sarah Zahidah, Nazri, Muhamad Sukri, Hadi, Annisa, Jamali, Hanim, Mohd Yatim, Intan Zaurah, Mat Darus

    Published 2021
    “…This paper presents the development of a Proportional-IntegralDerivative controller based on cuckoo search algorithm for a single link flexible manipulator system. …”
    Get full text
    Get full text
    Get full text
    Proceeding
    Save to List
    Saved in:
  4. 4
    Optimization of multi-holes drilling toolpath using tiki-taka algorithm

    Optimization of multi-holes drilling toolpath using tiki-taka algorithm by Norazlina, Abdul Rahman

    Published 2024
    “…The research methodology involves problem modeling, algorithm development, and validation. The TSP concept formulated the MDMT problem, representing holes as cities and tools as a salesman in finding the shortest path to develop a mathematical model or fitness function. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals

    Development of multi-objective optimization methods for integrated scheduling of handling equipment (AGVs, QCs, SP-AS/RS) in automated container terminals by Homayouni, Seyed Mahdi

    Published 2012
    “…Therefore, two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) algorithm, were developed to optimize the integrated scheduling of handling equipment. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm

    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…The model is simple in application with the use of genetic algorithm for model calibration making use of only the material fatigue limit. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Development of real-time embedded system with speech recognition for smart house

    Development of real-time embedded system with speech recognition for smart house by Yahya, Zuraimi, Sheikh Salleh, Sheikh Hussain, Syed Abu Bakar, Syed Abdul Rahman

    Published 2007
    Get full text
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  10. 10
    Intent-IQ: customer’s reviews intent recognition using random forest algorithm

    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin

    Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin by Hazalin, Haifaa Mahfuzah

    Published 2020
    “…For the functional testing, the system passes all of the testing and for the usability testing, the average mean is 70% shows that this system is good, relevant and do relate to the study. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code

    Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code by Badawi, Bakri

    Published 2022
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah

    Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah by Abdullah, Nur Raudzah

    Published 2020
    “…The performance of the model is evaluated by using statistical method which is Mean Squared Error (MSE) and functionality test is performed to make sure the system prototype is working correctly. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Development of generalized feed forward network for predicting annual flood (depth) of a tropical river

    Development of generalized feed forward network for predicting annual flood (depth) of a tropical river by Salarpour, Mohsen, Zulkifli Yusop, Jajarmizadeh, Milad, Fadhilah Yusof

    Published 2014
    “…The governing training algorithm was back propagation with momentum term and tangent hyperbolic types was used as transfer function for hidden and output layers. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil

    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…However, the weighted score function (W) shows better result compared to the censored complete data (CC). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Application of artificial neural network for yield prediction of lipase-catalyzed synthesis of dioctyl adipate

    Application of artificial neural network for yield prediction of lipase-catalyzed synthesis of dioctyl adipate by Abdul Rahman, Mohd Basyaruddin, Chaibakhsh, Naz, Basri, Mahiran, Salleh, Abu Bakar, Raja Abdul Rahman, Raja Noor Zaliha

    Published 2009
    “…Comparison of the performance of radial basis network with the developed models showed that radial basis function was more accurate but its performance was poor when tested with unseen data. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    A Comprehensive Study On Developing Neural Network Models For Predicting The Coagulant Dosage And Treated Water Qualities For A Water Treatment Plant

    A Comprehensive Study On Developing Neural Network Models For Predicting The Coagulant Dosage And Treated Water Qualities For A Water Treatment Plant by Jayaweera, Chamanthi Denisha

    Published 2019
    “…The effectiveness of the coagulant dosage and the TW quality models were improved using an imputation model and a genetic algorithm. The imputation model was developed using K-means clustering with an imputation accuracy similar to a self-organizing map, to cope with failures in hardware sensors causing downtime in fully automated water treatment plants and ensure the continual use of the coagulant dosage model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai

    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Firstly, a simple state-space model of the CVS-BiVAD system was required prior to the development of an MPC algorithm. For this purpose, a complex CVS-BiVAD model was simplified by reducing the number of state variables. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: