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  1. 1

    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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    Conference or Workshop Item
  2. 2

    A new minimum pheromone threshold strategy (MPTS) for max-min ant system by Wong, Kuan Yew, See, Phen Chiak

    Published 2009
    “…Thereafter, various suggestions have been made to improve the performance of the ACO algorithm. One of them is through the development of the max–min ant system (MMAS) algorithm. …”
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    Article
  3. 3

    Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system by Alsahag, Ali Mohammed, Mohd. Ali, Borhanuddin, Noordin, Nor Kamariah, Mohamad, Hafizal

    Published 2016
    “…Simulation results indicate that both WASA and FDSA achieve significant performance improvements in terms of spectral efficiency, outage probability, and fairness against the conventional OFDMA-TDMA and MAX-SNR algorithms. Comparison with recent works developed as adaptive slot allocation and reservation-based slot allocation has also been performed. …”
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    Article
  4. 4

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

    Published 2016
    “…For floor localisation, the strategy is based on developing the algorithm to determine the floor by utilising fingerprint clustering technique. …”
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    Thesis
  5. 5

    Centralized scheduling, routing tree in WiMAX mesh networks by Al-Hemyari, Ali, Noordin, Nor Kamariah, Ismail, Alyani, Khatun, Sabira, Al-Hasan, Yaseen Hasan Tahir, Qassem, Y. A.

    Published 2008
    “…In the last few years, demand for high speed internet access service has increased greatly so the IEEE 802.16 working group on broadband wireless access (BWA) is developing the worldwide interoperability for microwave access (WiMAX) standard for wireless metropolitan area networks (MANs) which aims to provide broadband wireless last mile access, easy deployment, and high speed data rate for large spanning area. …”
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  6. 6
  7. 7

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

    Published 2011
    “…and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. …”
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    Thesis
  8. 8

    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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  9. 9
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  11. 11

    Optimized scheme for efficient and scalable key management in IEEE 802.16e-based networks by Sadeghi, Mohammad Mehdi Gilanian

    Published 2015
    “…Subsequently, Mobile WiMAX was developed based on IEEE802.16e to support mobility where mobile devices can then roam from one coverage area to the next and remain connected. …”
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    Thesis
  12. 12

    Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review by Gumaida, Bassam, Ibrahim, Adamu Abubakar

    Published 2025
    “…This paper serves as a comprehensive background on localization algorithms and methods used in wireless sensor networks, offering insights for researchers to develop efficient localization algorithms tailored to specific application requirements in diverse work environments.…”
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    Article
  13. 13
  14. 14

    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud by Mahmud, Nur Farahana

    Published 2022
    “…Nowadays, there are numerous license plate recognition systems that have been developed and analysed effectively by previous researchers using different machine learning algorithms. …”
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    Student Project
  15. 15
  16. 16

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…The proposed method was validated by comparing the output force of PSCA with the experimental target force from load cell (reference). This work shows that the Proposed model exhibited a remarkable performance than traditional methods with a max MSE of 0.17325 and R value over 0.99 for the total response of training, testing and validation. …”
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    Thesis
  17. 17

    Braille display systems for blind people with haptic belt by Kamarudin, Muhammad Nizam, Hairi, Mohd Hendra, Aboali, Maged Yahya Ali Hussein, Mohd Shah, Hairol Nizam, Mohd Aras, Mohd Shahrieel, Md. Rozali, Sahazati

    Published 2021
    “…Thus, the project in this manuscript portrays the development of a new design by using Micro servomotors and embedded soft-computing algorithms. …”
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    Article
  18. 18

    New correlation for oil formation volume factor by Sulaimon, A.A., Ramli, N., Adeyemi, B.J., Saaid, I.M.

    Published 2014
    “…Most of the existing correlations do not give accurate estimations due to either simplifying assumptions or inappropriate technique. In this work, a new correlation for estimating oil formation volume factor (βo) using a Group Method of Data Handling (GMDH) technique was developed. …”
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  19. 19

    Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns by Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman

    Published 2023
    “…Our technique is more practical and time-consuming than arduous laboratory work. In the future, we will do the experiment with various soft soil characteristics to develop high-performing machine and deep learning models.…”
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    Article
  20. 20

    Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images by Acharya, U.R., Raghavendra, U., Fujita, H., Hagiwara, Y., Koh, J.E.W., Jen Hong, T., Sudarshan, V.K., Vijayananthan, A., Yeong, C.H., Gudigar, A., Ng, K.H.

    Published 2016
    “…Several non-invasive computer-aided techniques are proposed to assist in the early detection of FLD and cirrhosis using ultrasound images. In this work, we are proposing an algorithm to discriminate automatically the normal, FLD and cirrhosis ultrasound images using curvelet transform (CT) method. …”
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