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  1. 1
    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Ramarao, Taj, Mohammed Baloch

    Published 2008
    “…The algorithms are developed using MATLABTM software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytemsTM, and the spectra of the fault data are analyzed using fast Fourier transform which facilitates extraction of distinct features of each type of fault. …”
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  2. 2
    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Rama Rao

    Published 2009
    “…The algorithms are developed using MATLAB software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytems, and the spectra of the fault data are analyzed using fast Fourier transform to extract features of each type of fault. …”
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  3. 3
    Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / Mohamad Firdaus Mohamad Salehuddin

    Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M... by Mohamad Salehuddin, Mohamad Firdaus

    Published 2020
    “…This project is about using the Levenberg Marquardt algorithm in Artificial Neural Network (ANN) to classified between clean and polluted water. …”
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  4. 4
    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING

    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING by K., S. Rama Rao., C. , -K, Chew

    Published 2009
    “…Abstract This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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    Citation Index Journal
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  5. 5
    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING

    OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING by K.S., Rama Rao, C. K., Chew

    Published 2009
    “…This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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  6. 6
    Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks

    Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks by K.S.R, Rao, F. D., Zahlay

    Published 2008
    “…The algorithms are developed using MATLABâ„¢ software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytemsâ„¢, and the spectra of the fault data are analyzed using fast Fourier transform which facilitates extraction of distinct features of each type of fault. …”
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  7. 7
    Feature fusion using a modified genetic algorithm for face and signature recognition system

    Feature fusion using a modified genetic algorithm for face and signature recognition system by Suryanti, Awang

    Published 2015
    “…Several approaches and benchmark data were used to validate the effectiveness of the proposed method compared to the unimodal system and normal feature selection method. …”
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  8. 8
    The Impact of Normalization Techniques on Performance Backpropagation Networks

    The Impact of Normalization Techniques on Performance Backpropagation Networks by Norlida, Hassan

    Published 2004
    “…This study explored several normalization techniques using backpropagation learning. …”
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  9. 9
    Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach

    Group-based Decision Support for Flood Hazard Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach by Dano Lawal, Umar, Matori , Abdul-Nasir, Wan Yusof , Khamaruzaman, Mustafa Hashim, Ahmad, Aminu, Mansir, Sabri , Soheil, Balogun, Abdul-Lateef, Ahmed Chandio, Imtiaz, Radin Mohd Mokhtar, Munirah

    Published 2013
    “…These results were further validated using the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm embedded in ENVI 4.8 software and the Consistency Ratio (CR). …”
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  10. 10
    Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset

    Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset by Ngahzaifa, Ab. Ghani, Zuriani, Mustaffa, Zafril Rizal, M Azmi

    Published 2018
    “…In using most of the machine learning algorithms including ANFIS, to obtain the best model, the common and normal approach is always by comparing models of different parameter settings based on the goodness-offit statistical measures. …”
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  11. 11
    Production quantity estimation using an improved artificial neural network

    Production quantity estimation using an improved artificial neural network by Dzakiyullah, Raden Nur Rachman

    Published 2015
    “…These techniques were used to optimize attribute weighting on NNBP model. …”
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  12. 12
    Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems

    Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems by Ariafar, Shahram

    Published 2012
    “…In order to validate the models several cases are generated and demonstrated by two methods, Lingo 12.0 optimization software and an enumeration algorithm which is developed in C/C++. …”
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  13. 13
    A Remedial Action Scheme to Prevent Mid/Long-Term Voltage Instabilities

    A Remedial Action Scheme to Prevent Mid/Long-Term Voltage Instabilities by Khoshkhoo H., Yari S., Pouryekta A., Ramachandaramurthy V.K., Guerrero J.M.

    Published 2023
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  14. 14
    Determination of tree stem volume : A case study of Cinnamomum

    Determination of tree stem volume : A case study of Cinnamomum by Noraini Abdullah

    Published 2013
    “…Simulations of the best models are done using the Maple software.…”
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  15. 15
    An Improved Diabetes Risk Prediction Framework : An Indonesian Case Study

    An Improved Diabetes Risk Prediction Framework : An Indonesian Case Study by Sutanto, Daniel Hartono

    Published 2018
    “…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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  16. 16
    Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach

    Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach by Dano Lawal, Umar, Matori, Abdul Nasir, Wan Yusof, Khamaruzaman, Mustafa Hashim , Ahmad, Aminu, Mansir, Sabri, Soheil, Balogun, Abdul-Lateef, Ahmed Chandio, Imtiaz, Radin Mohd Mokhtar, Munirah

    Published 2013
    “…The result was further integrated into GIS system for spatial simulation of the likely flood areas. In validating the robustness of the result, known Flood Extent Extraction Model developed based on a Neural Network Algorithm embedded in ENVI 4.8 software was used. …”
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  17. 17
    Development of a driver detection system for somnolence and alertness based on image processing techniques

    Development of a driver detection system for somnolence and alertness based on image processing techniques by Mohd Fauzi, Abu Hassan, Ahmad Arifridhwan, Yakcob, Anis Sofi, Ahamad Saleh, Ahmad Shahrizan, Abdul Ghani, Mohd Helmy, Abd Wahab

    Published 2024
    “…Dlib’s facial landmark is used and the coordinates of the right and left eye of the driver were taken and then the eye aspect ratio (EAR) algorithm is used. …”
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  18. 18
    What, how and when to use knowledge in neural network application

    What, how and when to use knowledge in neural network application by Wan Ishak, Wan Hussain, Abdul Rahman, Shuzlina

    Published 2004
    “…These weights are assigned randomly or generated using other procedures such as Nguyen-Widrow initialization algorithm. …”
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  19. 19
    Metabolomics profiling of serum samples of Malaysian patients with colorectal cancer / Nurul Azmir Amir Hashim

    Metabolomics profiling of serum samples of Malaysian patients with colorectal cancer / Nurul Azmir Amir Hashim by Amir Hashim, Nurul Azmir

    Published 2021
    “…The pathways analysis was done using Metaboanalyst. The biomarkers were then validated using a new set of sera from 20 CRC and 20 normal subjects. …”
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  20. 20
    group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach

    group-based decision support for flood hazard forecasting: A geospatial technology-based group analytic hierarchy process approach by Lawal, D.U., Matori, A.-N., Yusof, K.W., Hashim, A.M., Aminu, M., Sabri, S., Balogun, A.-L., Chandio, I.A., Mokhtar, M.R.M.

    Published 2014
    “…These results were further validated using the known Flood Extent Extraction Model developed based on a Minimum Distance Algorithm embedded in ENVI 4.8 software and the Consistency Ratio (CR). …”
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