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  1. 1
    Development of Fuzzy Multi-Criteria Analysis Method for Tender Cleaning Service Selection

    Development of Fuzzy Multi-Criteria Analysis Method for Tender Cleaning Service Selection by Aminudin, Nurul Bazlaa’

    Published 2017
    “…This paper present a development of fuzzy set theory for tender cleaning service selection. It aims to evaluate the tender based on several criterions and provide the information to Tender Owner for selecting the top bidder. …”
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  2. 2
    Utilization of canny and velocity bunching algorithms for modelling shoreline change

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
    “…Then, rate of shoreline is simulated by using velocity bunching model. …”
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  3. 3
    Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage

    Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

    Published 2010
    “…Relative mass release of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms. …”
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  4. 4
    Dynamic modelling of a two-stage ATM Tandem Banyan Switch / Tham Hon Loke

    Dynamic modelling of a two-stage ATM Tandem Banyan Switch / Tham Hon Loke by Tham , Hon Loke

    Published 2002
    “…A Two-State ATM Tandem Banyan Switch has been selected as a model to be simulated. MATLAB's Simulink tool has been used to dynamically model the ATM switch. …”
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  5. 5
    Rollover Prevention System for Passenger Vehicle

    Rollover Prevention System for Passenger Vehicle by Phuman Singh, A.S., Safarudin, Mochamad, Sihombing, Haeryip

    Published 2010
    “…The active roll control algorithm was then introduced to the vehicle model. …”
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  6. 6
    Application of the Whale Optimization Algorithm (WOA) in Reservoir Optimization Operation Under Investigation of Climate Change Impact: A Case Study at Klang Gate Dam, Malaysia

    Application of the Whale Optimization Algorithm (WOA) in Reservoir Optimization Operation Under Investigation of Climate Change Impact: A Case Study at Klang Gate Dam, Malaysia by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., El-Shafie A.

    Published 2024
    “…During the optimization phase, the average storage failure rate for all the RCPs was 34.93%, while during the simulation phase, the average storage failure rate was 97.29%. …”
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  7. 7
    Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation

    Electroencephalography Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation by Mohamed, Shakir, Qidwai, Uvais, Malik, Aamir Saeed, Kamel , Nidal

    Published 2015
    “…A novel work has been done in producing simulated data based on empirical models of the real waveforms. …”
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  8. 8
    Ensemble dual recursive learning algorithms for identifying flow with leakage

    Ensemble dual recursive learning algorithms for identifying flow with leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

    Published 2010
    “…Relative mass release of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms. …”
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  9. 9
    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach

    Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach by Gholizadeh, Somayyeh

    Published 2018
    “…The proposed algorithms are evaluated by considering different metrics, computation modellings, and measurements on the simulation. …”
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  10. 10
    Evaluation of a spacecraft attitude and rate estimation algorithm

    Evaluation of a spacecraft attitude and rate estimation algorithm by Abdullah, Mohammad Nizam Filipski, Varatharajoo, Renuganth

    Published 2010
    “…The assessment of the algorithm performance is realized through a Monte Carlo simulation using a low‐Earth orbit, nadir‐pointing satellite. …”
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  11. 11
    A simulation study of a new rate-and-queue-based active queue management algorithm

    A simulation study of a new rate-and-queue-based active queue management algorithm by Ali Asghar, Jomah Adham, Razman, Mat Tahar

    Published 2012
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  12. 12
    EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation

    EEG Simulation Hardware for Realistic Seizure, Preseizure and Normal Mode Signal Generation by Shakir, Mohamed, Qidwai, Uvais, Malik, Aamir Saeed, Kamel, Nidal

    Published 2015
    “…A novel work has been done in producing simulated data based on empirical models of the real waveforms. …”
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  13. 13
    Holograph interferomatery for modelling rate change of shoreline from airsar data

    Holograph interferomatery for modelling rate change of shoreline from airsar data by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
    “…The hologram algorithm has been applied to simulate the wave spectra propagation pattern. …”
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  14. 14
    Recursive linear network modeling for detecting gas leak

    Recursive linear network modeling for detecting gas leak by Md Akib, Afifi, Saad, Nordin, Asirvadam, Vijanth

    Published 2010
    “…Relative mass loss of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithm. …”
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  15. 15
    Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items

    Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items by Farahanim, Misni, Lai, Soon Lee, Seow, Hsin-Vonn

    Published 2020
    “…A Hybrid Harmony Search-Simulated Annealing (HS-SA) algorithm is proposed in this paper. …”
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  16. 16
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…In conclusion, SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics can be used as models selection algorithms. Additionally, both algorithms are suitable in improving performance of automated models selection procedures. …”
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  17. 17
    Performance evaluation of vertical handoff in fourth generation (4G) networks model

    Performance evaluation of vertical handoff in fourth generation (4G) networks model by 'Aini Syuhada, Md Zain, Mahamod, I., Wan Nur Suryani Firuz, Wan Ariffin

    Published 2009
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  18. 18
    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf

    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

    Published 2017
    “…The design using Simulink and System generator can greatly reduce the process cycle from the algorithm to hardware. The metric equation of the EXP-BET algorithm is modelled and simulated using the MATLAB Simulink environment and System Generator tool provided by Xilinx. …”
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  19. 19
    Simulation Algorithm That Conserves Energy and Momentum for Molecular Dynamics of Systems Driven by Switching Potentials

    Simulation Algorithm That Conserves Energy and Momentum for Molecular Dynamics of Systems Driven by Switching Potentials by Jesudason, C.G.

    Published 2009
    “…The algorithm is applied to a 2-body particle potential for a hysteresis loop reaction model. …”
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  20. 20
    A comparative study for parameter selection in online auctions

    A comparative study for parameter selection in online auctions by Gan, Kim Soon

    Published 2009
    “…In this work, three different models of genetic algorithms are considered. In the first model, the crossover and the mutation rate of the genetic algorithms are varied in order to create different combination of crossover and mutation rate. …”
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