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  1. 1
    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation

    Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation by Tan , Khang Siang

    Published 2011
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  2. 2
    Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja

    Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

    Published 2004
    “…This thesis also provides an explanation about the advantages. functions, characteristics. the degree of complexity in A • algorithm and its implementation in real-world application. …”
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  3. 3
    A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets

    A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets by Mohd Razali, Muhamad Hasbullah, Saian, Rizauddin, Yap, Bee Wah, Ku-Mahamud, Ku Ruhana

    Published 2021
    “…This condition impeded the entropy-based heuristic of existing ATM algorithm to develop effective decision boundaries due to its biasness towards the dominant class. …”
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  4. 4
    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST

    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

    Published 2010
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  5. 5
    Enhancing Solutions Of Capacity Vehicle Routing Problem Based On An Improvement Ant Colony System Algorithm

    Enhancing Solutions Of Capacity Vehicle Routing Problem Based On An Improvement Ant Colony System Algorithm by Mutar, Modhi Lafta, Mohd Aboobaider, Burhanuddin, Hameed, Asaad Shakir, Yusof, Norzihani

    Published 2019
    “…It serves an important task in logistics and supply procession administration appropriate toward its wide applications in transport, product delivery, and services. …”
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  6. 6
    Surgical management of distal tibia fracture: towards an outcome-based treatment algorithm

    Surgical management of distal tibia fracture: towards an outcome-based treatment algorithm by Isnin, Rushdi, Che Ahmad, Aminudin, Abdul Ghani, Kamarul Haq, Mohd Rus, Razman

    Published 2020
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  7. 7
    Efficiency of 4253HT smoothers in extracting signal from noise and their applications in forecasting

    Efficiency of 4253HT smoothers in extracting signal from noise and their applications in forecasting by Khairol Azmi, Nurul Nisa'

    Published 2019
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  8. 8
    Towards large scale unconstrained optimization

    Towards large scale unconstrained optimization by Abu Hassan, Malik

    Published 2007
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    Inaugural Lecture
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  9. 9
    Reading the concept of al-Gharar on the background of robo-advisory: one more step towards Halālan Ṭayyiban lifestyle

    Reading the concept of al-Gharar on the background of robo-advisory: one more step towards Halālan Ṭayyiban lifestyle by Khalq, Ashraful, Muhsin, Sayyed Mohamed, Mat Jubri@Shamsuddin, Mustafa

    Published 2021
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    Proceeding Paper
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  10. 10
    A Stacked Ensemble Deep Learning Approach For Imbalanced Multi-class Water Quality Index Prediction

    A Stacked Ensemble Deep Learning Approach For Imbalanced Multi-class Water Quality Index Prediction by Wen Yee Wong, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Sarah Abdul Razak, Hanee Farzana Hizaddin, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan

    Published 2024
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  11. 11
    Application of machine learning in analysing historical and non-historical characteristics of heritage pre-war shophouses / Nur Shahirah Ja’afar and Junainah Mohamad

    Application of machine learning in analysing historical and non-historical characteristics of heritage pre-war shophouses / Nur Shahirah Ja’afar and Junainah Mohamad by Ja’afar, Nur Shahirah, Mohamad, Junainah

    Published 2021
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  12. 12
    A framework of modified adaptive neuro-fuzzy inference engine

    A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

    Published 2012
    “…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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  13. 13
    Visual based SLAM using modified PSO

    Visual based SLAM using modified PSO by William, Low, Nagarajan, Ramachandran, Prof. Dr., Sazali, Yaacob, Prof. Dr.

    Published 2010
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  14. 14
    Modified BPNN via iterated least median squares, particle Swarm optimization and firefly algorithm

    Modified BPNN via iterated least median squares, particle Swarm optimization and firefly algorithm by Md. Ghani, Nor Azura, Ahmad Kamaruddin, Saadi, Mohamed Ramli, Norazan, Musirin, Ismail, Hashim, Hishamuddin

    Published 2017
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  15. 15
    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology

    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology by K., Nithyakalyani, R., Kalpana, S., Sudhakar, N., Vigneswaran

    Published 2015
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  16. 16
    Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan

    Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan by Nor Asffan, Muhammad Qayyum

    Published 2020
    “…It can function to analyse data, develop algorithms even create models and applications. In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. …”
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  17. 17
    Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem

    Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Ramli, Norazan Mohamed

    Published 2018
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  18. 18
    Shared mental model as an enabler of Malaysia waqf land development

    Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

    Published 2017
    “…By having an investigation towards this complex collaboration, the ontology of the SMM is not only being accessed in satisfying the different societal sectors objectives but also on how did the WSA deed was executed and accomplished by it.The relation and algorithm description were then being conceptualized and supported by the means of UML framework.Methodology - To gain an understanding into the application of SMM, a series of in-depth interview was conducted among the WSA main actors; Majlis Agama Islam Pulau Pinang(MAINPP) and UDA Holdings (UDA), Using an extract of WSA successful story, an empirical input- process output (I-P-O) UML outlay was used to scrutinize the indexed of the convergence and collectivity theme derived from these interview transcriptions.The iterative process of validation, refinement and peer review involves both actors and researchers. …”
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  19. 19
    Data clustering using the bees algorithm

    Data clustering using the bees algorithm by Pham, D.T, Otri, S., Afify, A., Mahmuddin, Massudi, Al-Jabbouli, H.

    Published 2007
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  20. 20
    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster

    Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Tutut, Herawan, K., F.Rabbi

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