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  1. 1
    On determination of input parameters of the mass transfer process by fuzzy approach.

    On determination of input parameters of the mass transfer process by fuzzy approach. by Maan, Normah, Talib, Jamalludin, Arshad, Khairil Annuar, Ahmad, Tahir

    Published 2005
    “…The algorithm is also capable of determining the optimal values of the input parameters. …”
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  2. 2
    Neighbour-based on-demand routing algorithms for mobile ad hoc networks

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…Such change may lead to an extreme performance degradation, especially when the routing algorithm relies on fixed threshold values in the dropping decision. …”
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  3. 3
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…The ANN model has been developed using resilient back-propagation learning algorithm. …”
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  4. 4
    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub Md. Som

    Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

    Published 2014
    “…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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  5. 5
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  6. 6
    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

    Published 2014
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  7. 7
    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

    Published 2014
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  8. 8
    Quranic Cross-Lingual Information Retrieval Optimization using Hexadecimal Conversion Algorithm

    Quranic Cross-Lingual Information Retrieval Optimization using Hexadecimal Conversion Algorithm by Mazlan,M.M., Ismail,R., Norita Md. Norwawi, Fauziah Abdul Wahid

    Published 2024
    “…This article highlights the proposed Quranic Cross-Lingual Information Retrieval (Q-CLIR) model and Hexadecimal Conversion Algorithm. Currently, QuHex is still undergoing a continuous prototyping development and will implement the 2nd phase in creating interpreter for any word in a hex value. …”
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  9. 9
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
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  10. 10
    Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli

    Determination of Fast Voltage Stability Index (FVSI) using Evolutionary Programming (EP) technique to maintain system stability / Norhafizah Zulkipli by Zulkipli, Norhafizah

    Published 2014
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  11. 11
    Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field

    Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

    Published 2018
    “…Theoretically,β and α is parameters that used to vary the NMF2D algorithm in order to yield high SDR value. Experimentally,for the simulation results,the highest SDR value for β-divergence NMF2D is SDR = 16.69dB at β = 0.8 and n = 100.For α-divergence NMF2D,the highest SDR value is SDR = 17.85dB at α = 1.5 and n = 100.Additional of sparseness constraints toward β-divergence NMF2D and α-divergence NMF2D lead to even higher SDR value.There are SDR = 17.06dB for sparse β-divergence NMF2D at λ = 2.5 and SDR = 17.99dB for sparse α-divergence NMF2D at λ = 5. …”
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  12. 12
    Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah

    Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah by Nurul Habibah, Abdul Rahman

    Published 2024
    “…With a huge number of students drop out, the higher education institution’s reputation might be dropped. …”
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  13. 13
    Monte Carlo simulation of micelle formation in mixed surfactants and palm-kernel oil esters-based nanoemulsion

    Monte Carlo simulation of micelle formation in mixed surfactants and palm-kernel oil esters-based nanoemulsion by Yahya, Ruzanna

    Published 2014
    “…Here, the stochastic numerical methods or Monte Carlo (MC) was suggested to develop new configurations of a system of interest. …”
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  14. 14
    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
    “…At the same time, the HHO and OBL-HHO algorithms resulted in lower levels of periodic reliability, with values of 13.16% and 9.21% respectively. …”
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  15. 15
    The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan

    The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan by Keshasni , Earichappan

    Published 2023
    “…Results show significant drop in MC sensor voltage and torque value concurrently with time, with MC-duration having better correlation with torque (r is equal to 0.99465) compared to whole MC signal vs torque (r is equal to 0.32807). …”
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  16. 16
    Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging

    Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging by Zalzala, Ali Mahdi Jaafar

    Published 2016
    “…Compared to VNA images, image entropy values dropped from 63.66 to 43.23 for clay rod, and from 143.77 to 46.50 for an Aluminum rod. …”
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  17. 17
    Macroscopic and microscopic spray structure of water-in-diesel emulsions

    Macroscopic and microscopic spray structure of water-in-diesel emulsions by Ismael, M.A., A. Aziz, A.R., Mohammed, S.E., Zainal A, E.Z., Baharom, M.B., Hagos, F.Y.

    Published 2021
    “…The initial spray development suggests droplet puffing/micro-explosion. …”
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  18. 18
    Blood cell classification using deep learning

    Blood cell classification using deep learning by Liaw, Mun Kin

    Published 2022
    “…The motivation was gotten from the literature review section where various researchers developed their own methods manually through experimenting such as ensemble methods, learning algorithms, combined methodologies, etc. …”
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  19. 19
    Numerical study of heat transfer in 90 bend tube by AL2O3 nanofluids using fluid injection

    Numerical study of heat transfer in 90 bend tube by AL2O3 nanofluids using fluid injection by Mahdizadeh, Hadi, Adam, Nor Mariah

    Published 2020
    “…Curved lines used create a centrifugal force due to the bending and lack of development that increase the heat transfer. Originality/value This study has investigated the effect of injection of water into a 90° bend before and after the bend. …”
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  20. 20
    Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context

    Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

    Published 2018
    “…The hybrid energy management algorithm-based the PLC signal was developed using the MATLAB. …”
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