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  1. 1
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…A hybrid Particle Swarm Optimization-Bacterial Foraging Algorithm is developed for solving the single objective LIRP model. …”
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  2. 2
    The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azlan and Nur Izzati Aliah Fazli

    The application of queuing theory model using the DSW Algorithm and the L-R Method to optimize customer flow at Pizza Hut / Anis Natasha Mohamad Nizam, Nurfatihah Nadirah Noor Azla... by Mohamad Nizam, Anis Natasha, Noor Azlan, Nurfatihah Nadirah, Fazli, Nur Izzati Aliah

    Published 2022
    “…Results indicate that the computed performance measures of the fuzzy queuing model in the L-R Method are within the range of the performance measures of the fuzzy queuing model in the DSW Algorithm. …”
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  3. 3
    The application of queuing theory model and fuzzy queuing theory model using DSW algorithm to optimize vehicle flow at ferry terminal / Noratiqah Nasokha, Nurhamizah Salim and Nursyahirah Abdul Karim

    The application of queuing theory model and fuzzy queuing theory model using DSW algorithm to optimize vehicle flow at ferry terminal / Noratiqah Nasokha, Nurhamizah Salim and Nurs... by Nasokha, Noratiqah, Salim, Nurhamizah, Abdul Karim, Nursyahirah

    Published 2019
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  4. 4
    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    “…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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  5. 5
    Stock indicator scanner customization tool using deep reinforcement learning

    Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

    Published 2022
    “…Nowadays, there have some applications provide predictive model for user to predict the stock trend, however user cannot customize the type of input data used in the predictive models. …”
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  6. 6
    Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems

    Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems by Ismail, Zuhaimy, Loh, Ser Lee

    Published 2009
    “…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. …”
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  7. 7
    Ant colony optimization for solving solid waste collection scheduling problems

    Ant colony optimization for solving solid waste collection scheduling problems by Ismail, Zuhaimy, Loh, S. L.

    Published 2009
    “…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. …”
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  8. 8
    Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms

    Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms by Mohd Romlay, Muhammad Rabani, Rashid, Muhammad Mahbubur, Toha @ Tohara, Siti Fauziah, Mohd Ibrahim, Azhar

    Published 2019
    “…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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  9. 9
    Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms

    Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms by Mohd Romlay, Muhammad Rabani, Rashid, Muhammad Mahbubur, Toha @ Tohara, Siti Fauziah, Mohd Ibrahim, Azhar

    Published 2019
    “…The performances of the learning algorithms are compared and evaluated based on a 12-hour prediction model. …”
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  10. 10
    Customer purchase prediction and product recommendations

    Customer purchase prediction and product recommendations by Wong, Ji Hin

    Published 2024
    “…This project tries to provide an integrated solution that can improve the customer satisfaction and produce revenue growth by using the strength of data analytics. The BG/NBD model is used to determine the optimal period that have highest prediction accuracy and it was determined that the six-month period is the optimal period with highest prediction accuracy. …”
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  11. 11
    Speed Efficient Hardware Implementation Of Advanced Encryption Standard (Aes)

    Speed Efficient Hardware Implementation Of Advanced Encryption Standard (Aes) by Low, Chiau Thian

    Published 2017
    “…The motivation is to make encryption process as short as possible to aid in increasing a system's ability to process large amount of data. FPGA is chosen as the platform due to it does not have software overhead and is meant to be customized for real time applications. …”
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  12. 12
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…As such in this study, reviews were conducted and subsequently the most optimized model with existing algorithms combination were identified to detect fraud effectively within the shipping industry. …”
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  13. 13
    EEG-based emotion recognition using machine learning algorithms

    EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

    Published 2024
    “…Training will be conducted so the model can learn and capture patterns of data. Moreover, fine-tuning of model will be applied to get the optimal performance in machine learning model. …”
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  14. 14
    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm

    Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm by Mohd Kasihmuddin, Mohd Shareduwan, Abdul Halim, Nur Shahira, Mohd Jamaludin, Siti Zulaikha, Mansor, Mohd. Asyraf, Alway, Alyaa, Zamri, Nur Ezlin, Azhar, Siti Aishah, Marsani, Muhammad Fadhil

    Published 2023
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  15. 15
    Predicting open space parking vacancies using machine learning

    Predicting open space parking vacancies using machine learning by Lee, Wei Jun

    Published 2023
    “…A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
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  16. 16
    A review and comparative analysis of predictive models for supply chain demand forecasting

    A review and comparative analysis of predictive models for supply chain demand forecasting by Ibrahim Ahmed Omer, Rehab, Hassan, Raini, S. Abd. Aziz, Madihah

    Published 2026
    “…Empirical evidence from retail, manufacturing, healthcare, and food sectors demonstrates their relative performance and practical applicability. Challenges such as data quality, model interpretability, and system integration are analysed, along with emerging trends in real-time adaptability, hybrid modelling, and explainable AI. …”
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  17. 17
    Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building

    Solar irradiance forecasting and energy optimization for achieving nearly net zero energy building by Chakkaravarthy, Naveen, Subathra, M. S. P., Pradeep, P. Jerin, Manoj Kumar, Nallapaneni

    Published 2018
    “…This model was shown to have RMSE values of 11% to 24% for various seasonal forecasting using the Random Forest Algorithm in WEKA, which gave the annual irradiance results nearer to the PV Sol energy forecasting results. …”
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  18. 18
    Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad

    Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad by Mahamad, Laina Sofia

    Published 2017
    “…Thirdly, to identify best traffic model based on fitted model in developing network traffic bandwidth control algorithms. …”
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  19. 19
    Dyeing process parameter optimization and quality characteristics modeling for viscose blended knitted fabrics / Md Ismail Hossain

    Dyeing process parameter optimization and quality characteristics modeling for viscose blended knitted fabrics / Md Ismail Hossain by Md Ismail , Hossain

    Published 2016
    “…In this background, Fuzzy logic (FL) is a scientific and engineering solution for quality modeling because FL model performs remarkably well in non-linear domain with smallest amount of experimental data. …”
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  20. 20
    Malware Detection using Deep Learning (DL)

    Malware Detection using Deep Learning (DL) by Chowdhury Sajadul Islam, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo

    Published 2024
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