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  1. 1
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  2. 2
    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing

    SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

    Published 2019
    “…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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  3. 3
    Energy efficient path reconstruction in wireless sensor network using iPath

    Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

    Published 2019
    “…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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  5. 5
    Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and noise / Norhayati Hamzah

    Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and... by Hamzah, Norhayati

    Published 2007
    “…The algorithm have been implemented in MATLAB software and a program was developed to investigate the power spectrum of a fixed samples, 100 with the number of elements 15 with the existence of noise. …”
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  6. 6
    Improvement and application of particle swarm optimization algorithm

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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  7. 7
    Development of an integrated model for production planning and cell formation in cellular manufacturing systems

    Development of an integrated model for production planning and cell formation in cellular manufacturing systems by Raminfar, Reza

    Published 2010
    “…This non-linear model is then converted to a linear model. …”
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  8. 8
    Multi-Object Attitude and Rate Tracking for Spacecraft in Formation Flying

    Multi-Object Attitude and Rate Tracking for Spacecraft in Formation Flying by Mohammad Abdelrahman, Mohammad Ibraheem

    Published 2011
    “…A nonlinear controller using the MSDRE is developed through a pseudo-linearization of spacecraft augmented nonlinear absolute dynamics and kinematics. …”
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    Proceeding Paper
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  9. 9
    Design and development of high performance swa cell design for local DNA sequence alignment

    Design and development of high performance swa cell design for local DNA sequence alignment by Syed Abdul Rahman, Syed Abdul Mutalib Al Junid

    Published 2017
    “…This study proposed three new DNA sequence alignment accelerator system cell design and architecture based on the Smith-Waterman Algorithm (SWA) named as the new Optimized SWA Linear Gap Penalty (OSL), Optimized SWA Affine Gap Penalty (OSA), and Optimized Recursive Variable Expansion SWA Linear Gap Penalty (ORSL). …”
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  10. 10
    Optimisation of fed-batch fermentation process using deep reinforcement learning

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…At the same time, the total ethanol formation is 0.19 g/l and 0.03 g/l lower than the exponential feeding and genetic algorithm, respectively. …”
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  11. 11
    The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat

    The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat by Selamat, Noor Saedah

    Published 1996
    “…The graphics files format used are PCX ( PC paintbrush file format) and BMP ( windows' bitmap ).…”
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  12. 12
    New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images

    New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images by Eng , Sheh Ling

    Published 2016
    “…This dissertation presents a new non-linear contrast enhancement algorithm for non-uniform illumination and low contrast digital colour medical images. …”
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  13. 13
    Comparison of conjugate gradient methods for developing the multiple linear regression model for rice production in Malaysia / Nur Atikah Mustapha

    Comparison of conjugate gradient methods for developing the multiple linear regression model for rice production in Malaysia / Nur Atikah Mustapha by Mustapha, Nur Atikah

    Published 2018
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  14. 14
    Performance properties optimization of triaxial ceramic-palm oil fuel ash by employing Taguchi design and flower pollination algorithm

    Performance properties optimization of triaxial ceramic-palm oil fuel ash by employing Taguchi design and flower pollination algorithm by Zainudin, Azlan

    Published 2018
    “…In the meantime, both linear and interaction approach of FPA developed following optimal parameters: 5 wt.% of ground POFA, pressed at 4 t, and sintered at 1200 °C for 300 min of soaking time. …”
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  15. 15
    The higher accuracy fourth-order IADE algorithm

    The higher accuracy fourth-order IADE algorithm by Abu Mansor N., Zulkifle A.K., Alias N., Hasan M.K., Boyce M.J.N.

    Published 2023
    “…This leads to the formation of pentadiagonal matrices in the systems of linear equations. …”
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  16. 16
    Photovoltaic Integrated Shunt Active Power Filter with Simpler ADALINE Algorithm for Current Harmonic Extraction

    Photovoltaic Integrated Shunt Active Power Filter with Simpler ADALINE Algorithm for Current Harmonic Extraction by Mohd Zainuri, Muhammad, Mohd Radzi, Mohd, Che Soh, Azura, Mariun, Norman, Rahim, Nasrudin Abd, Teh, Jiashen, Lai, Ching-Ming

    Published 2018
    “…Improvement to the existing adaptive linear neuron (ADALINE) technique has been carried out, leading to the formation of a simpler ADALINE; it is expected to perform as fast as the current harmonics extraction algorithm. …”
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  17. 17
    Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction

    Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction by Jumin E., Zaini N., Ahmed A.N., Abdullah S., Ismail M., Sherif M., Sefelnasr A., El-Shafie A.

    Published 2023
    “…The results revealed that wind speed, humidity, Nitrogen Oxide, Carbon Monoxide and Nitrogen Dioxide have significant influence on ozone formation. Boosted Decision Tree outperformed Linear regression and Neural Network algorithms for all stations. …”
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  18. 18
    Photovoltaic integrated shunt active power filter with simpler ADALINE algorithm for current harmonic extraction

    Photovoltaic integrated shunt active power filter with simpler ADALINE algorithm for current harmonic extraction by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin, Teh, Jiashen, Lai, Ching-Ming

    Published 2018
    “…Improvement to the existing adaptive linear neuron (ADALINE) technique has been carried out, leading to the formation of a simpler ADALINE; it is expected to perform as fast as the current harmonics extraction algorithm. …”
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  19. 19
    Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change

    Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change by Nurul Nadrah Aqilah, Tukimat

    Published 2014
    “…The models are Nondominated Sorting Genetic Algorithm type II (NSGA-II), Linear Programming (LP), Statistical Downscaling Model (SDSM) with Multi-linear Correlation Matrix (M-CM), hydrological and crop models. …”
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  20. 20
    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
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