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  1. 1
    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…The other one is the network training’s environment optimization that is done through hyperparameter optimization by selecting and fine-tuning high impact parameters which include Optimizer, Learning Rate and Dropout to reduce error rate (loss function). …”
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  2. 2
    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm

    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm by Badakhshian, Mostafa

    Published 2009
    “…An optimal sequence of operations is obtained by GA. …”
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  3. 3
    On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems

    On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems by Mohammed Ahmed, Adeeb Ali

    Published 2020
    “…The optimization of the antenna selection and optimal transmission power with impact of pilot reuse sequences were achieved, by applying Newton’s method and the Lagrange multiplier. …”
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  4. 4
    Training size optimization with reduced complexity in cell-free massive MIMO system

    Training size optimization with reduced complexity in cell-free massive MIMO system by Ullah, Sayeid M. Sahid, Mahyiddin, Wan Amirul Wan Mohd, Zakaria, Nur Azira, Latef, Tarik Abdul, Noordin, Kamarul Ariffin, Dimyati, Kaharudin

    Published 2019
    “…The results showed that in general, all of the 3 training length optimization methods improved the downlink rate compared to the conventional pilot length method. …”
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  5. 5
    Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.]

    Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.] by Al Junid, Syed Abdul Mutalib, Haron, Muhammad Adib, Abd Majid, Zulkifli, Othman, Zulkifli

    Published 2012
    “…Nowadays, the demand for advanced and high performance computational method for comparing and searching biological sequences have increased according to exponential growth rate of biological sequences database. …”
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  6. 6
    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm.

    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

    Published 2012
    “…Previously, genetic algorithm (GA) is considered as a heuristic method to solve AGVscheduling problem. …”
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  7. 7
    Particle swarm optimization with deep learning for human action recognition

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…The features are reduced using the particle swarm optimization detection technique in video image sequences to reduce the computational complexity. …”
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  8. 8
    DNA sequence allignment accelerator using MATLAB / Noraminah Ismail

    DNA sequence allignment accelerator using MATLAB / Noraminah Ismail by Ismail, Noraminah

    Published 2014
    “…This paper presents the development of DNA sequence alignment accelerator using MATLAB. The Smith Waterman algorithm has been developed and simulated for nucleotide sequence alignment in optimizing accelerating speed. …”
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  9. 9
    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising

    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

    Published 2013
    “…The standard DE algorithm is known as a fixed length optimizer, while our problem demands the need for methods that aren’t tolerated to a fixed individual size, and that was made by altering the mutation and crossover strategies as well as the selection operation. …”
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  10. 10
    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine

    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine by Yap, David F. W., Koh, S. P., Tiong, S. K., Sim, Edwin Y. S., Yaw, M. W.

    Published 2011
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  11. 11
    ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE

    ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE by Yap, David F. W., Koh, S. P., Tiong, S. K., Sim, Edwin Y. S., Yaw, M. W.

    Published 2011
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  12. 12
    Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks

    Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks by Ali, Zuhura Juma, Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2020
    “…Simulation results show that the proposed NOMA with optimal power allocation method using SCP and GA (NOMA-SCP-GA) achieves fair energy efficiency performance with lower complexity compared to the benchmark methods. …”
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  13. 13
    Artificial immune algorithm based gravimetric fluid dispensing machine

    Artificial immune algorithm based gravimetric fluid dispensing machine by Yap D.F.W., Koh S.P., Tiong S.K., Sim E.Y.S., Yaw M.W.

    Published 2023
    Conference Paper
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  14. 14
    Optimal solution to the fractional knapsack problem for LTE overload-state scheduling

    Optimal solution to the fractional knapsack problem for LTE overload-state scheduling by Ferdosian, Nasim, Othman, Mohamed, Kweh, Yeah Lun, Mohd Ali, Borhanuddin

    Published 2016
    “…The simulation results demonstrate that the proposed method supplies diverse quality requirements of different service classes in compromise with data rate enhancement. …”
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  15. 15
    Non-linear maximum length sequences for the acquisition of the auditory brainstem response

    Non-linear maximum length sequences for the acquisition of the auditory brainstem response by Bradley, Andrew P., Smith, Andrew, Petoe, Matthew, Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne J.

    Published 2014
    “…However, these methods are only optimal under the assumption that the ABR is acquired from a linear, time-invariant system, which the auditory system is not. …”
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  16. 16
    Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture

    Dynamic transmit antenna shuffling scheme for hybrid multiple-input multiple-output in layered architecture by Chong, Jin Hui

    Published 2010
    “…It is shown that the computational complexity of proposed FAST-QR detection algorithm is approximately 48 % lower than the conventional QR decomposition detection algorithm. …”
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  17. 17
    Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning

    Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning by Goh, Ching Pang

    Published 2023
    “…Utilizing machine learning algorithms, our system learns and detects intricate activities from worker behavior sequences, offering a sophisticated analysis of worker efficiency. …”
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  18. 18
    Application of genetic algorithm methods to optimize flowshop sequencing problem

    Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

    Published 2008
    “…Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. …”
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    Undergraduates Project Papers
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  19. 19
    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD

    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD by ABDULLAH, H., LAW BOON HUI, C., ZAKARIA, M. S.

    Published 2023
    “…Thus, in this study, an optimization of the sequence operation in machining was conducted using an Artificial Intelligence method, which is the Ant Colony algorithm. …”
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  20. 20
    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD

    MINIMIZATION OF MACHINING PROCESS SEQUENCE BASED ON ANT COLONY ALGORITHM AND CONVENTIONAL METHOD by ABDULLAH, H., LAW BOON HUI, C., ZAKARIA, M. S.

    Published 2023
    “…Thus, in this study, an optimization of the sequence operation in machining was conducted using an Artificial Intelligence method, which is the Ant Colony algorithm. …”
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