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  1. 1
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  3. 3
    Optimisation of fed-batch fermentation process using deep reinforcement learning

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…The performance of the proposed algorithm was compared with a pre-determined exponential feeding profile and a genetic algorithm. …”
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  4. 4
    A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation

    A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation by Soong, Cai Juan, Razamin, Ramli, Rosshairy, Abdul Rahman

    Published 2016
    “…Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation. Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. …”
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  5. 5
    A standard deviation selection in evolutionary algorithm for grouper fish feed formulation

    A standard deviation selection in evolutionary algorithm for grouper fish feed formulation by Soong, Cai Juan, Ramli, Razamin, Abdul Rahman, Rosshairy

    Published 2016
    “…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
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  6. 6
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). In designing the network, a combination of back propagation or generalized delta learning rule with sigmoid transfer function has been used. …”
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  7. 7
    Evolution strategies for evolving artificial neural networks in an arcade game

    Evolution strategies for evolving artificial neural networks in an arcade game by Tse, Guan Tan, Teo, Jason, Anthony, Patricia

    Published 2010
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  8. 8
    Early detection of dengue disease using extreme learning machine

    Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

    Published 2018
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  9. 9
    Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic

    Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic by Mohammed, Athraa Jasim

    Published 2012
    “…This study proposes blogs search engine adopting RSS syndication using Fuzzy logic. The blogs search engine consists of three main phases which are crawling using RSS feeds algorithm, indexing weblogs algorithm and searching technique with Fuzzy logic. …”
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  10. 10
    Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients

    Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients by Abdulaziz Y., Ahmad S.M.S.

    Published 2023
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  11. 11
    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network

    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

    Published 2022
    “…To capture the spatiotemporal channel state information (CSI), the second proposed algorithm adopts machine learning techniques with anchor graph hashing to extract generalized features before feeding them into the DQN. …”
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  12. 12
    Teleworking monitoring system using NILM and K-NN algorithms: a strategy for sustainable smart cities

    Teleworking monitoring system using NILM and K-NN algorithms: a strategy for sustainable smart cities by Yang, Chuan Choong, Noh, Adriana, Ibrahim, Siti Noorjannah, Asnawi, Ani Liza, Mohamed Azmin, Nor Fadhillah

    Published 2024
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  13. 13
    Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm

    Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm by Abu, Md Sahrom

    Published 2021
    “…Then, the Apriori algorithm is used to formulate association ruleset in association analysis process and is known as the CTI Association Ruleset (CTI-AR). …”
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  14. 14
    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia’s car plates

    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia’s car plates by Chin, Kim On, Teo, Kein Yau, Rayner Alfred, Teo, Jason Tze Wi, Patricia Anthony, Wang, Cheng

    Published 2016
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  15. 15
    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates

    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates by Chin, Kim On, Teo, Kein Yau, Rayner Alfred, Jason Teo, Patricia Anthony, Wang, Cheng

    Published 2016
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  16. 16
    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]

    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.] by Chiau Ming, Long, Karuppannan, Mahmathi, Abdul Wahab, Izyan, Abd Wahab, Mohd Shahezwan, Zulkifly, Hanis Hanum

    Published 2014
    “…The identification of ADR requires knowledge of the pharmacological and pharmacokinetics knowledge of the drugs used. …”
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  17. 17
    Multilevel learning in Kohonen SOM network for classification problems

    Multilevel learning in Kohonen SOM network for classification problems by Mohd. Yusof, Norfadzila

    Published 2006
    “…Self-organizing map (SOM) is a feed-forward neural network approach that uses an unsupervised learning algorithm has shown a particular ability for solving the problem of classification in pattern recognition. …”
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  18. 18
    Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II

    Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II by M. F. F., Ab Rashid, N. M. Zuki, N. M., A. N. M., Rose

    Published 2016
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  19. 19
    Social media as a source of political information: First-time voters and the influence of social media on political interest

    Social media as a source of political information: First-time voters and the influence of social media on political interest by Ng, Alicia Zi Qin, Jong, Ally Fang Yee, Choong, Wen Yee, Lee, Ming Yi, Nagadarshyini, Maniam

    Published 2023
    “…All data collected has been stated to the body of knowledge for future use…”
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  20. 20
    Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach

    Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach by Kazemi, Azam

    Published 2010
    “…Statistical approaches such as maximum likelihood estimation method and Bayesian approach are used for this purpose. In the second phase, estimation of examinees’ ability has been obtained with multi-layer feed forward neural network with back propagation algorithm. …”
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