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  1. 1
    Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali

    Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali by Ihsan , Ali

    Published 2024
    “…To address relay node selection and data scheduling issues, Energy-Efficient Scheduling (EES) and Energy-Efficient Un-Scheduling (EEUS) methods have been introduced using the Improved Discrete Bat Algorithm (IDBA) along with the Adaptive Warshal Floyd algorithm (AWF). …”
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  2. 2
    Optimal Power Flow Solution With Stochastic Renewable Energies Using Nature Inspired Algorithm

    Optimal Power Flow Solution With Stochastic Renewable Energies Using Nature Inspired Algorithm by Abdul Mu’iz Zulfadli, Ab Wahab

    Published 2022
    “…By the end of this study, this algorithm should have been demonstrated to be a process that is simple to use and capable of searching for a nearglobal optimal solution with significant convergence and effectiveness when compared to other algorithms.…”
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    Undergraduates Project Papers
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  3. 3
    Festive season balancing groceries optimization / Fairuz Mohamed Razi

    Festive season balancing groceries optimization / Fairuz Mohamed Razi by Mohamed Razi, Fairuz

    Published 2012
    “…The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes.…”
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  4. 4
    Improving collection of data type evidence and the integrity of evidence collected using SHA-256 hashing algorithm for web browsers

    Improving collection of data type evidence and the integrity of evidence collected using SHA-256 hashing algorithm for web browsers by Asmawi, Aziah, Md Yasin, Sharifah, Mohd Shah, Nur Hazierah

    Published 2024
    “…The use of the SHA-256 hash algorithm currently considered secure and resistant to collision attacks. …”
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  5. 5
    Enhancing Classification Algorithms with Metaheuristic Technique

    Enhancing Classification Algorithms with Metaheuristic Technique by Cokro, Nurwinto, Tri Basuki, Kurniawan, Misinem, ., Tata, Sutabri, Yesi Novaria, Kunang

    Published 2024
    “…Meta-heuristic algorithms are search techniques used to solve complexoptimization problems, and these algorithms can help provide reasonable solutions in a shorter time thanexact methods. …”
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  6. 6
    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors

    Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors by Binajjaj, Saeed Ali Saeed

    Published 2010
    “…Second, the stability problem and the computational requirements were investigated using four experimental data collected by two different data acquisition systems. …”
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  7. 7
    Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms

    Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms by Mahmud, Mohd. Razali, Mohd. Yusof, Othman

    Published 2005
    “…Bathymetric data collections using multibeam echo sounder (MBES) have led to increasing data rates and densities. …”
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  8. 8
    Comparative study of methods for solving the Rubik’s Cube / Nur Syahirah Shuhaimi & Noor Fazlini Mustari

    Comparative study of methods for solving the Rubik’s Cube / Nur Syahirah Shuhaimi & Noor Fazlini Mustari by Shuhaimi, Nur Syahirah, Mustari, Noor Fazlini

    Published 2019
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  9. 9
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…In this study an intelligent learning system was developed to automate the collection of the machining data used by the skilled machinist. …”
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  10. 10
    Power generation allocation in smart grid using Dwarf Mongoose Optimization / Mohamad Irfan Shamani

    Power generation allocation in smart grid using Dwarf Mongoose Optimization / Mohamad Irfan Shamani by Shamani, Mohamad Irfan

    Published 2025
    “…DMO is inspired by the social and adaptive behaviours of Dwarf Mongoose which imitates their collective decision-making and foraging strategies for its algorithms. …”
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  11. 11
    Development of dynamic programming algorithm for maintenance scheduling problem

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…This model was then simulated using the data collected to verify whether the model was operating effectively and can be used to achieve the objective of this research. …”
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  12. 12
    Finding the shortest route using Dijkstra’s algorithm with application to ride hailing in UiTM Cawangan Negeri Sembilan Kampus Seremban / Nur Husnina Hassan, Nurin Hadrah Syahira Muhamad Bakri and Alya Batrisyia Sazeli

    Finding the shortest route using Dijkstra’s algorithm with application to ride hailing in UiTM Cawangan Negeri Sembilan Kampus Seremban / Nur Husnina Hassan, Nurin Hadrah Syahira M... by Hassan, Nur Husnina, Muhamad Bakri, Nurin Hadrah Syahira, Sazeli, Alya Batrisyia

    Published 2022
    “…Therefore, to find the shortest route with minimum time, Dijkstra's Algorithm will be used. Apart from that, the Dijkstra’s Algorithm used in this study will allow us to find the smallest weight path for all permanently labelled Nod once it has been run. …”
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  13. 13
    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem

    A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem by Lee, Lai Soon, Nazif, Habibeh

    Published 2009
    “…The OCGA is compared with other well known local search method namely dynamic length tabu search, randomised steepest descent method, and other variants of genetic algorithms using extensive data sets collected from the literatures. …”
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  14. 14
    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system

    Box-jenkins and genetic algorithm hybrid model for electricity forecasting system by Mahpol, Khairil Asmani

    Published 2005
    “…Data used in this study were collected from the year 1996 until year 2003 that has been classified into total monthly electricity generated in kWh unit. …”
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  15. 15
    An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman

    An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman by Roslan, Saidatul Aisyah, Mohd Yatim, Siti Norhakimah, Sulaiman, Siti Sarah

    Published 2019
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  16. 16
    Smart Routing For Solid Waste Collection

    Smart Routing For Solid Waste Collection by Ngiam, John Tze

    Published 2023
    “…The proposed solution is to implement a route optimization algorithm to predict the probability of each feasible route for the garbage truck collection. …”
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    Final Year Project Report / IMRAD
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  17. 17
    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

    Published 2013
    “…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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  18. 18
    Global optimization method for continuous - Time sensor scheduling

    Global optimization method for continuous - Time sensor scheduling by Woon, Siew Fang, Rehbock, Volker, Loxton, Ryan C.

    Published 2010
    “…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
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  19. 19
    Application of Optimization Methods for Solving Clustering and Classification Problems

    Application of Optimization Methods for Solving Clustering and Classification Problems by Shabanzadeh, Parvaneh

    Published 2011
    “…The data vectors are assigned to the closest cluster and correspondingly to the set, which contains this cluster and an algorithm based on a derivative-free method is applied to the solution of this problem. …”
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  20. 20
    A Case Study of Using Long Short-Term Memory (LSTM) Algorithm in Solar Photovoltaic Power Forecasting

    A Case Study of Using Long Short-Term Memory (LSTM) Algorithm in Solar Photovoltaic Power Forecasting by Lee Chin, Kho, Sze Song, Ngu, Annie, Joseph, Siti Kudnie, Sahari, Kuryati, Kipli, R., Rulaningtyas

    Published 2023
    “…The data set collected by The Ravina Project from 2010 to 2014 is used as the training data in the simulations. …”
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