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  1. 1
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  4. 4
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  5. 5
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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  6. 6
    AI powered asthma prediction towards treatment formulation: an android app approach

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  7. 7
    Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem

    Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem by M., Muziana, Kamal Z., Zamli

    Published 2015
    “…Flow shop scheduling problems relates the generation of appropriate sequencing for processing of N machines in compliance with given processing sequence orders. …”
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  8. 8
    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri

    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

    Published 2020
    “…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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  9. 9
    AI powered asthma prediction towards treatment formulation : An android app approach

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  10. 10
    DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES

    DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES by GANESAN, TIMOTHY

    Published 2014
    “…Thus, this work focuses on industrial MO problems encountered in process engineering with more than two objectives. …”
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  11. 11
    Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim

    Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim by Che Ibrahim, Mohd Erman Safawie

    Published 2012
    “…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
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  12. 12
    Quantum Processing Framework And Hybrid Algorithms For Routing Problems

    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
    “…A typical component in QPU is a quantum device that runs quantum algorithms; namely Quantum Algorithm Processing Unit (QAPU). …”
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  13. 13
    Implication of image processing algorithm in remote sensing and GIS applications

    Implication of image processing algorithm in remote sensing and GIS applications by Pathan, Mubeena, Jusoff, Kamaruzaman, Mohd Sood, Alias, Razali, Yaakob, Qureshi, Barkatullah

    Published 2011
    “…An algorithm solves the complex problems more efficiently and consistently. …”
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  14. 14
    Process Sequencing Modeled as TSP with Precedence Constraints - A Genetic Algorithm Approach

    Process Sequencing Modeled as TSP with Precedence Constraints - A Genetic Algorithm Approach by N. M., Razali

    Published 2014
    “…The process sequencing problem can be modeled as the travelling salesman problem with precedence constraints (TSPPC). …”
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  15. 15
    Monkey Algorithm for Packing Circles with Binary Variables

    Monkey Algorithm for Packing Circles with Binary Variables by Torres-Escobar, R., Marmolejo-Saucedo, J.A., Litvinchev, I., Vasant, P.

    Published 2019
    “…The algorithm consists of five main routines: the climb process, watch-jump process, repairing process, cooperation process and somersault process. …”
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  16. 16
    Monkey Algorithm for Packing Circles with Binary Variables

    Monkey Algorithm for Packing Circles with Binary Variables by Torres-Escobar, R., Marmolejo-Saucedo, J.A., Litvinchev, I., Vasant, P.

    Published 2019
    “…The algorithm consists of five main routines: the climb process, watch-jump process, repairing process, cooperation process and somersault process. …”
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  17. 17
    A hybrid kidney algorithm strategy for combinatorial interaction testing problem

    A hybrid kidney algorithm strategy for combinatorial interaction testing problem by Ameen Ali, Mohammed Ba Homaid

    Published 2022
    “…HKA addresses the limitations in KA by improving the algorithm's exploration and exploitation processes by hybridizing KA with mutation operator, and improve the balancing control process by enhancing the filtration process in KA. …”
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  18. 18
    Biogeography based optimization (BBO) algorithm to minimise non-productive time during hole-making process

    Biogeography based optimization (BBO) algorithm to minimise non-productive time during hole-making process by Tamjidy, Mehran, Paslar, Shahla, Baharudin, B. T. Hang Tuah, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar

    Published 2015
    “…This paper presents an evolutionary optimization algorithm based on geographic distribution of biological organism to deal with hole-making process problem. …”
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  19. 19
    Optimization of multi-holes drilling path using particle swarm optimization

    Optimization of multi-holes drilling path using particle swarm optimization by Najwa Wahida, Zainal Abidin

    Published 2022
    “…One way to improve the multi-hole drilling is by optimising the tool path in the process. This research aims to model and optimise multi-hole drilling problems using Particle Swarm Optimisation (PSO) algorithm. …”
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  20. 20
    Design of a flexible digital baseband signal processing algorithm

    Design of a flexible digital baseband signal processing algorithm by Mohamad, Rosalina, Harun, Harlisya, Nuzli, Mohamad Anas, Dimyati, Kaharudin

    Published 2006
    “…The work presented in this paper is aimed at designing a flexible digital baseband signal processing algorithm (DBSP) for satellite applications. …”
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