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  1. 1
    A Model Development And Comparison Study On The Microwave Remote Sensing Of Snow Medium Using A Coupled Finite Element Method And Method Of Moment, And The Relaxed Hierarchical Equivalent Source Algorithm

    A Model Development And Comparison Study On The Microwave Remote Sensing Of Snow Medium Using A Coupled Finite Element Method And Method Of Moment, And The Relaxed Hierarchical Equ... by Hamsalekha, Kumaresan

    Published 2022
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  2. 2
    Hybrid genetic algorithm for improving fault localization

    Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

    Published 2018
    “…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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  3. 3
    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework

    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework by Asaad Aref, Ibrahim

    Published 2004
    “…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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  4. 4
    Quantitative analysis of NaCl, NaOH, and β-phenylethylamine in water using ultraviolet spectroscopy coupled with partial least squares and net analyte preprocessing

    Quantitative analysis of NaCl, NaOH, and β-phenylethylamine in water using ultraviolet spectroscopy coupled with partial least squares and net analyte preprocessing by Tang, Xiaojun Tang, Tong, Angxin Tong, Zhang, Feng, Wang, Bin

    Published 2020
    “…Hence, a new quantitative analysis method, which was based on ultraviolet (UV) spectroscopy coupled with partial least squares (PLS) and net analyte preprocessing (NAP), was developed. …”
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  5. 5
    Design, modeling and implementation of antennas using electromagnetic bandgap material and defected ground planes

    Design, modeling and implementation of antennas using electromagnetic bandgap material and defected ground planes by Zainal Abidin, Zuhairah

    Published 2011
    “…In addition, a computational method combining Genetic Algorithm (GA) with surface meshing code for the analysis of a 2x2 antenna arrays on EBG was developed. …”
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  6. 6
    Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring

    Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring by Mat-Noh, Maziyah, Zain, Zainah Md, Pebrianti, Dwi, Irawan, Addie, Daud, Mohd Razali

    Published 2016
    “…The prototype of the AUG has been successfully developed and test in water tank environment.…”
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  7. 7
    Multi-floor indoor location estimation system based on wireless local area network

    Multi-floor indoor location estimation system based on wireless local area network by Chua, Tien Han

    Published 2007
    “…This study focuses on design and development of a software based multi-floor indoor location estimation system using Wireless Local Area Network (WLAN). …”
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  8. 8
    Inner resonance and outer current based control strategy for inductive power transfer system used in wireless charging for electric vehicles

    Inner resonance and outer current based control strategy for inductive power transfer system used in wireless charging for electric vehicles by Varikkottil, Sooraj, Lionel, Febin Daya John, Srinivasan, Mohan Krishna, Perumal, Thinagaran, Stonier, Albert Alexander, Peter, Geno, Pagidi, Balachennaiah, Ganji, Vivekananda

    Published 2024
    “…This work proposes a unique control algorithm to charge the Li-ion battery under coupling coefficient and load variations. …”
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  9. 9
    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil

    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil by Chai, Kah Chun

    Published 2021
    “…In addition, the proposed hybrid model achieved the highest correlation coefficient, higher by 27% on average compared with the benchmark models. …”
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  10. 10
    Aerodynamic study of symmetrical and asymmetrical airfoil in varying angle of attack airflows

    Aerodynamic study of symmetrical and asymmetrical airfoil in varying angle of attack airflows by Sharifah Nur Nadiah Syed Yassin

    Published 2022
    “…The viscous-inviscid coupled panel method algorithm XFOIL is integrated within the graphical user interface of QBlade for the construction of custom airfoils and the computation of airfoil lift-and drag coefficient polars.…”
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  11. 11
    Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices

    Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices by Oskoui, Issa Saket

    Published 2016
    “…Subsequently, using the simulation results, new regression equations are developed to model the critical period and total storage capacity of study systems individually and three systems together applying standard demand parameter, reliability and vulnerability performance measures and coefficient of variation and skewness of annual flows. …”
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  12. 12
    An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system

    An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mohd Riduwan, Ghazali, M Osman, Tokhi

    Published 2023
    “…Recognizing this challenge, the current paper introduces a novel data-driven control scheme that relies exclusively on input and output data. Undertaking a couple of modifications to the conventional marine predators algorithm (MPA), random average marine predators algorithm (RAMPA) with tunable adaptive coefficient to control the step size (CF) has been proposed in this paper as an enhanced alternative towards fine-tuning data-driven multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller parameters for the multi-input–multi-output (MIMO) gantry crane system. …”
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  13. 13
    Development of controller for an underactuated autonomous underwater vehicle (AUV)

    Development of controller for an underactuated autonomous underwater vehicle (AUV) by Mat-Noh, Maziyah, Zain, Zainah Md, Abd Ghani, N. M., Abdul Wahab, Yasmin, Razali, Akhtar Razul

    Published 2019
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  14. 14
    Volunteer Management System

    Volunteer Management System by Muhammad Fazril Bin Mohd Amin, Muhammad Fazril

    Published 2012
    “…The project will adopt the Iterative and incremental development methodology, which promotes constant reevaluation, and will be built on the java programming language and developed on the Netbeans IDE, for the GUI and algorithm implementation. …”
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  15. 15
    Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir

    Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir by Tahir, Wardah

    Published 2008
    “…In addition, an example rainfall-runoff model is developed, namely the unit hydrograph technique to be linked with the satellite-based QPF to become a coupled hydro-meteorological FFWS. …”
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  16. 16
    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar

    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar by Jaafar, Jurina

    Published 2015
    “…The coupled remote sensing and surface runoff model is able to calculate surface runoff with an addition of emissivity value to represent the surface roughness coefficient.…”
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  17. 17
    Validation of a 2D multispectral camera: Application to dermatology/cosmetology on a population covering five skin phototypes

    Validation of a 2D multispectral camera: Application to dermatology/cosmetology on a population covering five skin phototypes by Ahmad Fadzil, Mohd Hani

    Published 2011
    “…The multispectral system provides images of the skin reflectance at different spectral bands, coupled with a neural network-based algorithm that reconstructs a hyperspectral cube of cutaneous data from a multispectral image. …”
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  18. 18
    Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris

    Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris by Mohammad Aris, Ahmad Amiruddin

    Published 2019
    “…The proposed co-simulation process is developed by coupling building energy simulation (BES) software, Energy Plus with multi-objective evolutionary programming (MOEP) algorithm which is implemented in Matlab using coupling software, BCVTB. …”
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  19. 19
    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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  20. 20
    Smart student timetable planner

    Smart student timetable planner by Wong, Xin Tong

    Published 2025
    “…A Genetic Algorithm forms the core scheduling engine, generating optimized timetables that respect both hard constraints, such as avoiding clashes, and soft constraints, such as personal preferences.The final output of this project is a functional web-based timetable planner that successfully enhances scheduling efficiency, reduces the likelihood of errors, and improves the overall academic planning experience. …”
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