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  1. 1
    Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia

    Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia by Latif S.D., Hazrin N.A.B., Younes M.K., Ahmed A.N., Elshafie A.

    Published 2025
    “…It is crucial for developing countries such as Malaysia to be able to accurately predict future municipal solid waste generations in order to achieve high-quality waste management. …”
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  2. 2
    Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill

    Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill by Abunama, Taher, Othman, Faridah, Ansari, Mozafar, El-Shafie, Ahmed

    Published 2019
    “…Leachate generation is related to several factors, including meteorological data, waste generation rates, and landfill design conditions. …”
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  3. 3
    Faculty timetabling using genetic algorithm

    Faculty timetabling using genetic algorithm by Liong, Boon Yaun

    Published 2011
    “…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
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    Undergraduates Project Papers
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  4. 4
    Smart Routing For Solid Waste Collection

    Smart Routing For Solid Waste Collection by Ngiam, John Tze

    Published 2023
    “…The problem of waste management in Malaysia has become increasingly complex due to an increase in waste generation and insufficient technology, manpower, and facilities. …”
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    Final Year Project Report / IMRAD
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  5. 5
    Design of smart waste bin and prediction algorithm for waste management in household area

    Design of smart waste bin and prediction algorithm for waste management in household area by Yusoff, Siti Hajar, Abdullah Din, Ummi Nur Kamilah, Mansor, Hasmah, Midi, Nur Shahida, Zaini, Syasya Azra

    Published 2018
    “…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
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  6. 6
    Predicting sanitary landfill leachate generation in humid regions using ANFIS modeling

    Predicting sanitary landfill leachate generation in humid regions using ANFIS modeling by Abunama, Taher, Othman, Faridah, Younes, Mohammad K.

    Published 2018
    “…Leachate generation is related to several variable factors, including meteorological data, waste generation rates, and landfill design conditions. …”
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  7. 7
    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…New algorithms, journal papers and computerized system were also developed. …”
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    Monograph
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  8. 8
    Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran

    Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran by Amran, Aiman Syafwan

    Published 2023
    “…Recycle waste is an integral part of our daily lives. It generates various type of waste materials in our homes, workplaces and communities. …”
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    Thesis
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  9. 9
    A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions

    A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions by Nur Azriati, Mat

    Published 2023
    “…This research focuses on two solid waste management (SWM) problems, particularly the landfill site selection problem (LSSP) and the waste collection vehicle routing problem (WCVRP). …”
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    Thesis
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  10. 10
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Thesis
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  11. 11
    CNN integrated mobile application: food image recognition for recipe generation

    CNN integrated mobile application: food image recognition for recipe generation by Nor Azlan Shah, Muhammad Imran, Norlina Mohd Sabri, Norlina, Tan, Gloria Jennis, Zhang, Zhiping

    Published 2025
    “…In this research, the CNN algorithm has generated a good and acceptable performance with more than 96% accuracy. …”
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  12. 12
    Mathematical formulation of tabu search in combinatorial optimization

    Mathematical formulation of tabu search in combinatorial optimization by Ismail, Zuhaimy

    Published 2008
    “…The test instances involve five to 50 nodes systematically generated similar to the real world CARP. The newly modified RTS algorithm gives a better performance than TS and (Look-Ahead Strategy) LAS method.…”
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    Monograph
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  13. 13
    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das

    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…In addition, a novel data preparation algorithm is also developed to prepare the solar irradiance (SI) pattern of the forecasted day for forecasting PV output power based on the online-weather-report. …”
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    Thesis
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  14. 14
    Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem

    Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem by Hassani, Omid Boyer

    Published 2014
    “…In this research, a fuzzy multi-objective mixed integer programming location–routing model for the hazardous waste is developed. This study considers uncertainty in generated hazardous waste quantity by using fuzzy parametric programming. …”
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  15. 15
    The development of instrument for real-time monitoring of heavy metal discharge for batik industry

    The development of instrument for real-time monitoring of heavy metal discharge for batik industry by Zukri, Mohammad Nizar Mohamed

    Published 2019
    “…In order to ensure the results are robust, other significant parameters such as temperature and acidity (represented in pH) were considered during mathematical formulation development. The control algorithm using PID loop was implemented in the system devices to generate the sufficient voltage input energizing the conductivity sensor. …”
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  16. 16
    Development of intelligent evaluation system for product end-of-life selection strategy

    Development of intelligent evaluation system for product end-of-life selection strategy by Zakri, Ghazalli

    Published 2011
    “…Additionally, the amount of waste generated at the end-of-life of products has become a serious problem in most countries. …”
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    Thesis
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  17. 17
    An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification

    An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification by Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam

    Published 2024
    “…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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  18. 18
    Combustion modeling of municipal waste combustor

    Combustion modeling of municipal waste combustor by Hussain, Ahmad, Ani, Farid Nasir, Darus, Amer Nordin, Adnan, Mohammed Fadzil, Surjosatyo, Adi, Mustafa, Azeman, Salema, Arshad A.

    Published 2005
    “…The average amount of municipal solid waste (MSW) generated in Malaysia is 0.5-0.8 kg/person/day and has increased to 1.7 kg/person/day in major cities. …”
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    Conference or Workshop Item
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  19. 19
    Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor

    Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor by Mansor, Mohd Helmi

    Published 2020
    “…A multi-objective optimization algorithm was subsequently proposed to minimize the total production cost and total system loss in a combined problem formulation via the integrated Economic Dispatch and Distributed Generation installation (ED-DG). …”
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  20. 20
    Neural network prediction for efficient waste management in Malaysia

    Neural network prediction for efficient waste management in Malaysia by Yusoff, Siti Hajar, Abdullah Din, Ummi Nur Kamilah, Mansor, Hasmah, Midi, Nur Shahida, Zaini, Syasya Azra

    Published 2018
    “…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on population growth factor. …”
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