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  1. 1
    Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining

    Assessing the relationship between pollution sources and water quality parameters of Sungai Langat Basin using association rule mining by Nurizah Abdul Hasib, Zalinda Othman

    Published 2020
    “…Both data are combined and pre-processed through association rule mining for further modelling processes. Apriori algorithm was used to generate rules in finding any relationships between sources of pollution and water quality parameters. …”
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  2. 2
    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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  3. 3
    The effect of job satisfaction on the relationship between organizational culture and organizational performance

    The effect of job satisfaction on the relationship between organizational culture and organizational performance by Imran, Muhammad

    Published 2023
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  4. 4
    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data

    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data by Rostami, Mohammad

    Published 2016
    “…By using a Bivariate extreme model and the slice sampler algorithm, the relationship between the gold and American dollar returns in Malaysian market has been considered.…”
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  5. 5
    Estimated and analysis of the relationship between the endogenous and exogenous variables using fuzzy semi-paranetric sample selection model

    Estimated and analysis of the relationship between the endogenous and exogenous variables using fuzzy semi-paranetric sample selection model by MuhamadSafiih, L, Kamil, A.A., Abu Osman, M.T.

    Published 2014
    “…However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. …”
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  6. 6
    Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha

    Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha by Talha, Nor Syaliza

    Published 2007
    “…There is a relationship between the direction of a signal and the associated received steering vector. …”
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  7. 7
    Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha

    Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha by Talha, Nor Syaliza

    “…There is a relationship between the direction of a signal and the associated received steering vector. …”
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  8. 8
    Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Anayet Ullah

    Published 2008
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  9. 9
    The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells

    The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells by Ayoub, Mohammed Abdalla

    Published 2010
    “…Prediction of pressure drop in multiphase flow is quite difficult and complicated due to the complex relationships between the various parameters involved. …”
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  10. 10
    Automatic control of flotation process using computer vision

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…Online measurement and control of these parameters is currently not possible, due to lack of scientific relationship between froth structure and various aspects of flotation process. …”
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  11. 11
    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE

    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE by ABDUL RAZAK, FARAH NABILLAH

    Published 2017
    “…The relationship between the colour space and the chromametry algorithm measurement is the core thing in this project because this criteria will determine whether the food is fresh or not. . …”
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    Final Year Project
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  12. 12
    Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin

    Analyzing land surface temperature in response to massive urbanization by using single window algorithm in Penang Island / Ainna Naeemah Zainal Abidin by Zainal Abidin, Ainna Naeemah

    Published 2019
    “…Thus, this study has been conducted for the purpose of analyzing the relationship between Land Surface Temperature due to massive urbanization in Penang Island. …”
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  13. 13
    Comparison between regression and ANN models for relationship of soil properties and electrical resistivity

    Comparison between regression and ANN models for relationship of soil properties and electrical resistivity by Siddiqui, F.I., Pathan, D.M., Osman, S.B.A.B.S., Pinjaro, M.A., Memon, S.

    Published 2015
    “…Proper correlations of various soil parameters with electrical resistivity of soil will bridge the gap between geotechnical and geophysical engineering and also enable geotechnical engineers to estimate geotechnical parameters from electrical resistivity data. …”
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  14. 14
    Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm

    Multi-objective optimization of friction stir welding process parameters of AA6061-T6 and AA7075-T6 using a biogeography based optimization algorithm by Tamjidy, Mehran, Baharudin, B. T. Hang Tuah, Paslar, Shahla, Matori, Khamirul Amin, Sulaiman, Shamsuddin, Fadaeifard, Firouz

    Published 2017
    “…A mathematical regression model is developed to determine the empirical relationship between the FSW process parameters and mechanical properties, and the results are validated. …”
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  15. 15
    Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance

    Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance by Yeap, Eng Choo

    Published 2020
    “…Many researchers have tried to reduce the effect of topography in the past with success; however, most of these methods are complicated and require many parameters. To address this problem, we developed algorithms that quantify, reduce, and induce topographical effects in satellite images by exploring the relationship between direct and diffuse solar irradiance. …”
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  16. 16
    Normative Fish Swarm Algorithm For Global Optimization With Applications

    Normative Fish Swarm Algorithm For Global Optimization With Applications by Tan, Weng Hooi

    Published 2019
    “…NFSA incorporates adjustments of visual, visualmin, step and stepmin parameters to adjust the inconsistency between the prospection and exploitation. …”
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  17. 17
    Peak pressure analysis of foot plantar distribution based on image processing algorithm

    Peak pressure analysis of foot plantar distribution based on image processing algorithm by Sabry, Ali Hussein

    Published 2018
    “…Repeatability test together with the image processing tool is considered to classify seven levels of the plantar pressure and select the suitable category of measurements according to the relationships of each level with the studied parameters. …”
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  18. 18
    Predicting uniaxial compressive strength using Support Vector Machine algorithm

    Predicting uniaxial compressive strength using Support Vector Machine algorithm by Zakaria, Hafedz, Abdullah, Rini Asnida, Ismail, Amelia Ritahani, Amin, Mohd For

    Published 2019
    “…The relationship between the dry density, sonic velocity, and UCS was analyzed using RapidMiner Studio software. …”
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  19. 19
    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms

    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms by Bouzateur, Inas, Ouali, Mohammed Assam, Bennacer, Hamza, Ladjal, Mohamed, Khmaissia, Fadoua, Rahman, Mohd Amiruddin Abd, Boukortt, Abdelkader

    Published 2023
    “…In the field of materials science, advanced Computational Intelligence (CI)-based techniques have become increasingly important for simulating the relationship between the physicochemical parameters of chemical elements and the physical properties of materials and compounds. …”
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  20. 20
    Elucidating the effect of process parameters on the production of hydrogen-rich syngas by biomass and coal Co-gasification techniques: A multi-criteria modeling approach

    Elucidating the effect of process parameters on the production of hydrogen-rich syngas by biomass and coal Co-gasification techniques: A multi-criteria modeling approach by Bahadar, A., Kanthasamy, R., Sait, H.H., Zwawi, M., Algarni, M., Ayodele, B.V., Cheng, C.K., Wei, L.J.

    Published 2022
    “…This challenge can be overcome using appropriate machine learning algorithm to model the nonlinear complex relationship between the predictors and the targeted response. …”
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