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  1. 1
    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer

    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

    Published 2017
    “…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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  2. 2
    Removing mixture of Gaussian and Impulse noise of images using sparse coding

    Removing mixture of Gaussian and Impulse noise of images using sparse coding by Mahsa Malekzadeh, Saeed Meshgini, Reza Afrouzian, Ali Farzamnia, Sobhan Sheykhivand

    Published 2020
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  3. 3
    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations

    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

    Published 2014
    “…In this research, the algorithms studied includes Genetic Algorithm, Particle Swarm Optimization Algorithm, Differential Evolution Algorithm, Harmony Search Algorithm, Teaching-LearningBased Optimization Algorithm and Black Hole Algorithm. …”
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  4. 4
    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique

    New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique by Hamid, Nurul 'Atiqah

    Published 2016
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  5. 5
    Enhancement of text-based advanced encryption standard algorithm (AES) in the android platform / Mohamad Zakirin Mohammad Zahari

    Enhancement of text-based advanced encryption standard algorithm (AES) in the android platform / Mohamad Zakirin Mohammad Zahari by Mohammad Zahari, Mohamad Zakirin

    Published 2014
    “…This will help to speed up the algorithm because mix column step was using high calculation and needs a lot of time to process it. …”
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  6. 6
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  7. 7
    A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.

    A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning. by Rajendran, Piraviendran, Othman, Muhaini

    Published 2024
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  8. 8
    Comparative analysis for topic classification in juz Al-Baqarah

    Comparative analysis for topic classification in juz Al-Baqarah by Rahman, Mohamad Izzuddin, Samsudin, Noor Azah, Mustapha, Aida, Abdullahi Oyekunle, Adeleke

    Published 2018
    “…This research project is aiming to create computing environment that enable us use to text mining the Quran. The classification experiment is using the Support Vector Machine to find themes in Juz‟ Baqarah. …”
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  9. 9
    Simulation of steady mixed convection in a lid-driven cavity filled with newtonian fluid by finite volume method

    Simulation of steady mixed convection in a lid-driven cavity filled with newtonian fluid by finite volume method by Abu Bakar, Norhaliza

    Published 2019
    “…The resultant matrices were then solved iteratively using the Tri- Diagonal Matrix Algorithm coded in FORTRAN90. …”
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  10. 10
    Mixed convection in a lid-driven enclosure filled with hybrid nanofluid by finite volume method

    Mixed convection in a lid-driven enclosure filled with hybrid nanofluid by finite volume method by Ridha Ali, Inas

    Published 2022
    “…The resultant matrices were then solved iteratively using the Tri-Diagonal Matrix Algorithm coded in FORTRAN90. …”
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  11. 11
    Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model

    Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Wang, Yi Jie, Choo, Wei Chong, Ng, Keng Yap, Bi, Ran, Wang, Peng Wei

    Published 2025
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  12. 12
    Improved Malware detection model with Apriori Association rule and particle swarm optimization

    Improved Malware detection model with Apriori Association rule and particle swarm optimization by Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah

    Published 2019
    “…In this method, the candidate detectors generated by particle swarm optimization form rules using apriori association rule. These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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  13. 13
    The future of money: cryptocurrency is the way to go in Malaysia / Dr. Zuraidah Mohamed Isa, Dr. Dahlia Ibrahim and Dr. Mohamad Hanif Abu Hassan

    The future of money: cryptocurrency is the way to go in Malaysia / Dr. Zuraidah Mohamed Isa, Dr. Dahlia Ibrahim and Dr. Mohamad Hanif Abu Hassan by Mohamed Isa, Zuraidah, Ibrahim, Dahlia, Abu Hassan, Mohamad Hanif

    Published 2022
    “…Cryptocurrency is a system that uses computers to mine it, where mining requires the solution of several mathematical algorithms. …”
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  14. 14
    Multistep block method for solving second and third order boundary value problems with Robin and mixed type boundary conditions

    Multistep block method for solving second and third order boundary value problems with Robin and mixed type boundary conditions by Mohd Nasir, Nadirah

    Published 2020
    “…All the computational procedures were undertaken using the C language in a Code::Blocks 16.01 cross platform. …”
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  15. 15
    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool

    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

    Published 2018
    “…From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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  16. 16
    Secure data communication using blind source separation

    Secure data communication using blind source separation by Kumar, Anil, Elkhazmi, E. A., Khalifa, Othman Omran, Albagul, Abdulgani

    Published 2008
    “…The translated message is encrypted with a random signal by specific mixing. The encrypted message is further permutated and inserted in the image using pseudo-random sequence, which make the system more secure. …”
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  17. 17
    Classification of metamorphic virus using n-grams signatures

    Classification of metamorphic virus using n-grams signatures by A Hamid, Isredza Rahmi, Md Sani, Nur Sakinah, Abdullah, Zubaile, Mohd Foozy, Cik Feresa, Kipli, Kuryati

    Published 2020
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  18. 18
    Malware Classification and Detection using Variations of Machine Learning Algorithm Models

    Malware Classification and Detection using Variations of Machine Learning Algorithm Models by Andi Maslan, Andi Maslan, Abdul Hamid, Abdul Hamid

    Published 2025
    “…Training and testing data in the study used a mixed model, namely data division, split model and cross validation. …”
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  19. 19
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…The MTS algorithm is coded in ANSI-C language and tested on benchmark data from Mandl's Swiss Network and Mumford's larger data. …”
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  20. 20
    Development of a heuristic procedure for balancing mixed-model parallel assembly line type II

    Development of a heuristic procedure for balancing mixed-model parallel assembly line type II by Esmaeilian, Gholamreza

    Published 2010
    “…To solve these problems, two heuristic algorithms were developed and coded in MATLAB®. The first one allocates each model to only one parallel assembly line and achieves the initial arrangement of tasks with the minimum number of workstations for each line. …”
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