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  1. 1
    Hazard identification on fractionation column using rule based expert system

    Hazard identification on fractionation column using rule based expert system by Mohd Yunus, Mohd Yusri, Ali, Mohamad Wijayanuddin

    Published 2001
    “…The algorithm is found applicable for any of process system, however the expert system developed is only limited to the application for fractionation column of oleo chemical plant.…”
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  2. 2
    Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column

    Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column by M. Yunus, M. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…A modified Hazard and Operability Study (HAZOP) algorithm has been proposed in order to develop process deviation relationships between two study nodes in HAZOP study. …”
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  3. 3
    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
    “…Design/methodology/approach Designing curved tubes increases the thermal conductivity amount between fluid and wall. It is used the finite volume method and simple algorithms to solve the conservation equations of mass, momentum and energy. …”
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  4. 4
    Predictive analytics of Junctionless Double Gate Strained MOSFET using genetic algorithm with doe-based grey relational analysis

    Predictive analytics of Junctionless Double Gate Strained MOSFET using genetic algorithm with doe-based grey relational analysis by Salehuddin, Fauziyah, Kaharudin, Khairil Ezwan, Ahmad Jalaludin, Nabilah, Arith, Faiz, Mohd Zain, Anis Suhaila, Ahmad, Ibrahim, Md Junos@Yunus, Siti Aisah

    Published 2023
    “…The computed GRGs are then processed using multiple regression analysis to derive the objective function that summarizes the relationship between the design parameters and the GRG. Finally, the genetic algorithm is utilized to predict the optimum level of design parameters based on the derived objective function. …”
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  5. 5
    Methodology of rolling horizon scheduling under demand uncertainty

    Methodology of rolling horizon scheduling under demand uncertainty by Romli, Awanis, Ameendeen, Mohamed Ariff, Ahmad, Norasnita

    Published 2006
    “…It is a process of developing good relationship between market demands and production capacity in such a way that customers demand are satisfied and at the same time production activities are carried out in an economic manner. …”
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  6. 6
    Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks

    Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks by Zazali, Azyyati Adiah, Subramaniam, Shamala, Ahmad Zukarnain, Zuriati

    Published 2020
    “…This research proposes and develops an enhanced algorithm that can improve the region area for sensor nodes placement within the specific localization area. …”
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  7. 7
    Fault detection and diagnosis using correlation coefficients

    Fault detection and diagnosis using correlation coefficients by Mak, Weng Yee

    Published 2005
    “…A fractionation column from a palm oil fractionation plant is chosen as the case study and the model of the case study is simulated in Matlab. …”
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  8. 8
    PREDICTIVE ANALYTICS OF JUNCTIONLESS DOUBLE GATE STRAINED MOSFET USING GENETIC ALGORITHM WITH DOE-BASED GREY RELATIONAL ANALYSIS

    PREDICTIVE ANALYTICS OF JUNCTIONLESS DOUBLE GATE STRAINED MOSFET USING GENETIC ALGORITHM WITH DOE-BASED GREY RELATIONAL ANALYSIS by Kaharudin K.E., Salehuddin F., Jalaludin N.A., Arith F., Zain A.S.M., Ahmad I., Junos S.A.M.

    Published 2024
    “…The computed GRGs are then processed using multiple regression analysis to derive the objective function that summarizes the relationship between the design parameters and the GRG. Finally, the genetic algorithm is utilized to predict the optimum level of design parameters based on the derived objective function. …”
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  9. 9
    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates

    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates by Memon, M. Asif, Khan, Muhammad Sabeel, Saleem, S., Eldin, S.M., Jacob, Kavikumar

    Published 2023
    “…The nano-medium is confined between two non-isothermal moving infinite parallel plates. …”
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  10. 10
    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates

    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates by Memon, M. Asif, Khan, Muhammad Sabeel, Saleem, S., Eldin, S.M., Kavikumar Jacob, Kavikumar Jacob

    Published 2023
    “…The nano-medium is confined between two non-isothermal moving infinite parallel plates. …”
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  11. 11
    Development of integrated models for distribution network design of perishable products

    Development of integrated models for distribution network design of perishable products by Firoozi, Zahra

    Published 2015
    “…A Lagrangian relaxationbased heuristic algorithm is developed to solve the model. The algorithm produces solutions that are within 0.027% of optimality gap.…”
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  12. 12
    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates

    Heat transfer through a higher grade Forchheimer porous CuO–H2O-nano-medium confined between non-isothermal moving plates by Memon, M. Asif, Muhammad Sabeel Khan, Muhammad Sabeel Khan, Saleem, S., Eldin, S.M., Kavikumar Jacob, Kavikumar Jacob

    Published 2023
    “…The nano-medium is confined between two non-isothermal moving infinite parallel plates. …”
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  13. 13
    Region-growing based segmentation and bag of features classification for breast ultrasound images

    Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

    Published 2017
    “…To measure the result of algorithm developed, dice coefficient (DC) is the metric that is chosen to measure the accuracy of algorithm; Dice similarity coefficient (DSC) was used as a statistical validation metric to evaluate the performance of both the reproducibility of manual segmentations and the spatial overlap accuracy of automated probabilistic fractional segmentation of ultrasound images. …”
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  14. 14
    Artificial neural network and inverse solution method for assisted history matching of a reservoir model

    Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

    Published 2017
    “…This allows to directly simulate the trained neural network and avoid the use of objective function and optimization algorithm. The efficacy of the developed approach was evaluated using a benchmark reservoir model case study which was originally developed for investigation of three-phase three-dimensional Black-Oil modelling techniques under the 9th SPE comparative study project. …”
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  15. 15
    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW

    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW by IFFA, EMISHAW DANDENA IFFA

    Published 2011
    “…However the proposed model gave better results for BOS images taken through natural gas flames and smoke from a fog generator. The developed deflection vector estimation algorithm and optical tomography served as a tool to extract the index of refraction of the gaseous fields. …”
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  16. 16
    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample

    Investigate the Relation between Particle Size Distribution (PSD) Using Image Analysis Method and Chemical Oxygen Demand (COD) In POME Sample by Mohd Fathilah, Anis Afiqah

    Published 2015
    “…By conducting this research, image analysis algorithm can be developed in monitor the particle size, and the relation between PSD and COD can be observed.…”
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  17. 17
    An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding

    An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

    Published 2023
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  18. 18
    Accurate Real Time Detection For Halal Logo Based On Fourier Magnitude Method

    Accurate Real Time Detection For Halal Logo Based On Fourier Magnitude Method by Ismail, Nurul Atiqah

    Published 2016
    “…This research aims to classify between JAKIM Halal logo and fake Halal logo. Beside that, the objective of this research is to develop an algorithm Fractionalized Principle Magnitude to recognize all 50 approved Halal logo. …”
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  19. 19
    Investigation of pollutant reduction by simulation of turbulent non-premixed pulverized coal combustion

    Investigation of pollutant reduction by simulation of turbulent non-premixed pulverized coal combustion by Rahmanian, B., Safaei, M.R., Kazi, S.N., Ahmadi, G., Oztop, H.F., Vafai, K.

    Published 2014
    “…In this work, a computational model was developed and used to study NOx reduction during pulverized coal combustion. …”
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  20. 20
    Runtime pluggable CPU scheduler for linux operating system

    Runtime pluggable CPU scheduler for linux operating system by Al-Maweri, Nasr Addin Ahmed Salem

    Published 2010
    “…It also provides a flexible interface for kernel developers which facilitates the evaluation and testing for their newly developed scheduling algorithms. …”
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