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  1. 1
    System identification using Extended Kalman Filter

    System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

    Published 2017
    “…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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  2. 2
    Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction

    Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

    Published 2023
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  3. 3
    Robust correlation feature selection based support vector machine approach for high dimensional datasets

    Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

    Published 2025
    “…Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. …”
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  4. 4
    The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]

    The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.] by Md Razak, Mohamad Idham, Ahmad, Ismail, Bujang, Imbarine, Talib, Adi Hakim, Kedin, Nor Adila

    Published 2012
    “…Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. …”
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  5. 5
    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee

    A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee by Wong , Wen Yee

    Published 2023
    “…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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  6. 6
    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis

    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis by Ghazali, K. H., Mohd Falfazli, Mat Jusof, Muhammad, Badaruddin, Jadin, Mohd Shawal

    “…The performance of these segmentation algorithms are measured using misclassification error. …”
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    Research Report
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  7. 7
    A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization

    A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization by Ee, L.K., Aziz, I.A.

    Published 2018
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  8. 8
    A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization

    A hybrid prediction model for pipeline corrosion using Artificial Neural Network with Particle Swarm Optimization by Ee, L.K., Aziz, I.A.

    Published 2018
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  9. 9
    Reproducing kernel Hilbert space method for cox proportional hazard model

    Reproducing kernel Hilbert space method for cox proportional hazard model by Abdul Manaf, Nur'azah

    Published 2016
    “…The task is to extend the Cox proportional hazard model by using the new reproducing kernel obtained and apply the kernel method to randomly selected survival data sets. …”
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  10. 10
    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires

    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires by Muhammad Faris Fuaad

    Published 2024
    text::Final Year Project
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  11. 11
    Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features

    Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features by Wen Yee Wong, Ayman Khallel Ibrahim Al-Ani, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Sarah Abdul Razak, Hanee Farzana Hizaddin, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan

    Published 2024
    journal::journal article
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  12. 12
    Early detection of high water saturation spots for landslide prediction using thermal image analysis

    Early detection of high water saturation spots for landslide prediction using thermal image analysis by Aufa Huda, Muhammad Zin

    Published 2018
    “…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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  13. 13
    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf

    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf by Soh , Meng Wah

    Published 2015
    “…This indicates that the proposed algorithm is not suitable to be used as AMPs predictor. …”
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  14. 14
    Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor

    Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor by Mohamad Saleh, Saleha

    Published 2005
    “…The desired behavior of the adaptive controller is expressed by utilizing reference model, and the algorithms have been realized using the Lyapunov method and MIT rules. …”
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  15. 15
    Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin

    Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin by Zainal Abidin, Nurah

    Published 2008
    “…In this study, we focus on recognizing the toxin-like outer membrane protein (ID:025331) in Helicobacter pylori including its secondary structure and predicting the antigen's epitopes that is able to bind to Major Histocompatibility Class-II molecules using a-TEPITOPE-based algorithm. …”
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  16. 16
    Modelling of CO2 Laser Materials Processing by Networked Neuro-Dimension Fuzzy Intelligent System

    Modelling of CO2 Laser Materials Processing by Networked Neuro-Dimension Fuzzy Intelligent System by Sivarao, Subramonian, S., Thiru, Jusoff, Kamaruzzaman, Azizah, Shaaban, Mariana, Yusoff, Jano, Zanariah, Yuhazri, Yaakob, HASOLOAN , HAERY IAN PIETER, Abu Bakar, Mohd Hadzley, Raja, Izamshah, Hussein, Nur Izan Syahriah, Mohd Amran, Md Ali, Taufik, , Wahyono Sapto, Widodo, Tan, CheeFai, Sivakumar, Dhar Malingam

    Published 2013
    “…This paper presents a more accurate prediction method for surface roughness values by using Networked Fuzzy Intelligent System (N-FIS) in combination with the commercial software tools, Matlab and Neuro-Dimension Network. …”
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  17. 17
    Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph

    Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph by Olatomiwa Lanre , Joseph

    Published 2016
    “…Followed by development of prediction algorithm for solar radiation using soft-computing methodologies. …”
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  18. 18
    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.

    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops. by Mohd Akhir, Norhasiah

    Published 2004
    “…The scope of the project includes developing an algorithm, the research and analysis of GPS and the use of SMS. …”
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    Final Year Project
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  19. 19
    Computing the autopilot control algorithm using predictive functional control for unstable model

    Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

    Published 2009
    “…One basic Ballistic Missile model (10) is used as an unstable model to formulate the control law algorithm using PFC. …”
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  20. 20
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…Using a proper test-bed, after 10000 run times, we compared our newly proposed algorithm with the basic algorithm in terms of reliability and availability. …”
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