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  1. 1
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…Unlike the classical kNN algorithm which is a regression type algorithm, the proposed localisation algorithms utilise machine learning classification for both linear and kernel types. …”
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  2. 2
    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…This algorithm can also be used for task scheduling. The proposed algorithm efficiently maps and achieves the objective function for server consolidation, optimising energy consumption, VM migrations, and server utilisation. …”
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  3. 3
    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar

    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

    Published 2016
    “…By defining the data, machines (or computers) will be able to create information and later on transform it into knowledge. The knowledge will be stored, used, referred, postulated and reasoned with. …”
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  4. 4
    A BBN-based framework for adaptive IP-reuse

    A BBN-based framework for adaptive IP-reuse by Azman, Amelia Wong, Bigdeli, Abbas, Biglari-Abhari, Morteza, Mohd Mustafah, Yasir, Lovell, Brian

    Published 2009
    “…In order to achieve this objective, Bayesian Belief Network (BBN) is utilised and incorporated into the framework to produce a reliable HW/SW partitioning for a given vision algorithm. …”
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  5. 5
    Nearest neighbour group-based classification

    Nearest neighbour group-based classification by Samsudin, Noor A., Bradley, Andrew P.

    Published 2010
    “…The purpose of group-based classification (GBC) is to determine the class label for a set of test samples, utilising the prior knowledge that the samples belong to same, but unknown class. …”
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  6. 6
    Investigation On Optical Fibre Configurations For Process Tomography

    Investigation On Optical Fibre Configurations For Process Tomography by Ibrahim, Sallehuddin

    Published 2002
    “…Linear back projection (LBP) algorithm is used to reconstruct the image. A modified reconstruction algorithm combining LBP and a priori knowledge is outlined. …”
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  7. 7
    Exploiting Bayesian belief network for adaptive IP-reuse decision

    Exploiting Bayesian belief network for adaptive IP-reuse decision by Azman, Amelia Wong, Bigdeli, Abbas, Biglari-Abhari, Morteza, Mohd Mustafah, Yasir, Lovell, Brian

    Published 2009
    “…In this work, the concept of Bayesian Belief Network (BBN) is utilised and incorporated into the proposed framework. …”
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  8. 8
    Adapting robot kinematics for human-arm motion recognition

    Adapting robot kinematics for human-arm motion recognition by Chan, C.S., Liu, H., Brown, D.

    Published 2007
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  9. 9
    Predictive modeling of chlorophyll a for tropical lake by means of hybrid evolutionary algorithm (HEA)

    Predictive modeling of chlorophyll a for tropical lake by means of hybrid evolutionary algorithm (HEA) by Ishak, Mohd Yusoff, Cao, Hong Qing, Recknagel, Friedrich

    Published 2013
    “…The HEA has shown potential for utilisation in early warning and strategic control of algal blooms in tropical freshwater lake. …”
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  10. 10
    A case study on quality of sleep and health using Bayesian networks

    A case study on quality of sleep and health using Bayesian networks by Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia

    Published 2012
    “…There are several phases involved including implementation of the learning algorithms, integration of prior knowledge through the whitelist argument and arc setting to form directed acyclic graphs. …”
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  11. 11
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah by Salmah , Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. Based on that analysis, this research suggests a hybrid algorithm: the Multi-Objective Optimisation Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy). …”
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  12. 12
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks by Salmah Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. Based on that analysis, this research suggests a hybrid algorithm: the Multi-Objective Optimisa­tion Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy). …”
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  13. 13
    An improvement of back propagation algorithm using halley third order optimisation method for classification problems

    An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

    Published 2020
    “…This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. …”
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  14. 14
    Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

    Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review by Mohd Khairul Amri, Kamarudin, Nik Ahmad Firdaus, Nik Wan

    Published 2018
    “…Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. …”
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  15. 15
    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…However, due to the drawbacks of the conventional algorithm as well as the heuristic algorithms handling complicated and multi-objective reservoir optimisation, the advantages of the strategy of simultaneous exploration and exploitation led to the decision to utilise meta-heuristic algorithms in this study. …”
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  16. 16
    D&A: resource optimization in personalized PageRank computations using multi-core machines

    D&A: resource optimization in personalized PageRank computations using multi-core machines by Yow, Kai Siong, Li, Chunbo

    Published 2024
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  17. 17
    Malaysian secondary boarding school menu planning system / Suliadi F. Sufahani and Anuar M. Yusof

    Malaysian secondary boarding school menu planning system / Suliadi F. Sufahani and Anuar M. Yusof by Sufahani, Suliadi Firdaus, Mohd Yusof, Anuar

    Published 2021
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  18. 18
    A grid enabled E-theses and dissertations repository system

    A grid enabled E-theses and dissertations repository system by Por, L.Y., Ong, S.Y., Beh, D., Ismail, M.

    Published 2002
    “…For future direction, research will be focused on searching algorithm using data mining or pattern discovery to minimise the respond time.…”
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  19. 19
    A framework for automatic modelling of survival using fuzzy inference.

    A framework for automatic modelling of survival using fuzzy inference. by Hamdan, Hazlina, Garibaldi, Jonathan M.

    Published 2012
    “…In this paper, we present a framework for modelling survival utilising the application of the ANFIS fuzzy inference system. …”
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  20. 20
    Social media in shaping public opinion roles and impact: a systematic review

    Social media in shaping public opinion roles and impact: a systematic review by Dasad Latif, Muhammad Ahsan Samad, Rinawulandari, Shamsiah Abd Kadir

    Published 2024
    “…Key themes emerged across these categories, including the role of social media in knowledge dissemination, creation of filter bubbles and echo chambers, amplification of diverse voices, and spread of misinformation. …”
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