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  1. 1
    Designing and Developing an Intelligent Congkak

    Designing and Developing an Intelligent Congkak by Muhammad Safwan, Mohd Shahidan

    Published 2011
    “…This issues can solved by programming the Congkak system based on previous work on Mancala and NN system, and then recording the performance of the related algorithm. …”
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  2. 2
    WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques

    WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques by Daw Abdulsalam Ali Daw

    Published 2024
    thesis::doctoral thesis
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  3. 3
    A New Algorithm For Prediction WIMAX Traffic Based On Artificial Neural Network Models

    A New Algorithm For Prediction WIMAX Traffic Based On Artificial Neural Network Models by Daw Abdulsalam Ali Daw, Kamaruzzaman Bin Seman, Madihah Mohd Saudi

    Published 2024
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  4. 4
    Fair uplink bandwidth allocation and latency guarantee for mobile WiMAX using fuzzy adaptive deficit round robin

    Fair uplink bandwidth allocation and latency guarantee for mobile WiMAX using fuzzy adaptive deficit round robin by Alsahag, Ali Mohammed, Mohd Ali, Borhanuddin, Noordin, Nor Kamariah, Mohamad, Hafizal

    Published 2014
    “…One example of such a network is called WiMAX which is driven by WiMAX Forum based on IEEE 802.16 Wireless MAN standard. …”
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  5. 5
    The application of neural networks and min-max algorithm in digital congkak

    The application of neural networks and min-max algorithm in digital congkak by Che Pa, Noraziah, Alwi, Asmidah, Mohamed Din, Aniza, Safwan, Muhammad

    Published 2013
    “…To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. …”
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  6. 6
    Data normalization techniques in swarm-based forecasting models for energy commodity spot price

    Data normalization techniques in swarm-based forecasting models for energy commodity spot price by Yusof, Yuhanis, Mustaffa, Zuriani, Kamaruddin, Siti Sakira

    Published 2014
    “…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
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  7. 7
    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks

    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
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  8. 8
    Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks

    Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

    Published 2014
    “…Firstly is by enhancing the learning algorithm of a neural-fuzzy network; and secondly by devising an ensemble model to combine the predictions from multiple neural-fuzzy networks using an agent-based framework. …”
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  9. 9
    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data

    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data by A.F.M., Hani, M.S., Younis

    Published 2007
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  10. 10
    The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki

    The development of network error message alert retrieval for organizational intelligence system based on information retrieval techniques / Ahmad Syazwan Ahmad Zaki by Ahmad Zaki, Ahmad Syazwan

    Published 2015
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  11. 11
    Embedded Artificial Intelligent (AI) To Navigate Cart Follower

    Embedded Artificial Intelligent (AI) To Navigate Cart Follower by Tang, Khai Luen

    Published 2018
    “…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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  12. 12
    Reactive memory model for ant colony optimization and its application to TSP

    Reactive memory model for ant colony optimization and its application to TSP by Sagban, Rafid, Ku-Mahamud, Ku Ruhana, Abu Bakar, Muhamad Shahbani

    Published 2014
    “…The performances of six (6) ant colony optimization variants were evaluated to select the base for the proposed model.Based on the results, Max-Min Ant System has been chosen as the base for the modification.The modified algorithm called RMMAS, was applied to TSPLIB95 data and results showed that RMMAS outperformed the standard MMAS.…”
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  13. 13
    Process Planning Optimization In Reconfigurable Manufacturing Systems

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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  14. 14
    Machine learning: tasks, modern day applications and challenges

    Machine learning: tasks, modern day applications and challenges by Aljuaid, Lamyaa Zaed, Koh, Tieng Wei, Sharif, Khaironi Yatim

    Published 2019
    “…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
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  15. 15
    Embodied conversational agents for H5N1 pandemic crisis

    Embodied conversational agents for H5N1 pandemic crisis by Goh, Ong Sing, Fung, Chun Che, Wong, Kok Wai, Depickere, Arnold

    Published 2007
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  16. 16
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…The development of the algorithm starts by reviewing the characteristic of an autonomous systems. …”
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  17. 17
    What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer

    What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer by Abdullah Sani, Nur Zania Azurin, Mohamed Thaheer, Ahmad Shazeer

    Published 2023
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  18. 18
    Future Trend of Artificial Intelligence and Stock Market: A Comprehensive Bibliometric Analysis

    Future Trend of Artificial Intelligence and Stock Market: A Comprehensive Bibliometric Analysis by Abdul Hayy Haziq, Mohamad, Rossazana, Ab Rahim, Norlina, Kadri

    Published 2025
    “…Artificial intelligence (AI) has revolutionized stock market research, offering innovative solutions for predictive modeling, algorithmic trading, and financial decision-making. …”
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  19. 19
    Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh

    Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh by Saleh, Pauziah

    Published 2006
    “…The result shows that by using only one hidden layer, minimum error can be obtained as what is needed and also excellent in result. It is satisfied that the application of ANN feed-forward back-propagation method in closed loop system, the speed obtained the excellent result. …”
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  20. 20
    Using artificial intelligence search in solving the camera placement problem

    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
    “…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
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