Search Results - (( _ application learning algorithm ) OR ( job application system algorithm ))

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    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…This paper proposes a sophisticated Job Position Prediction system utilizing Machine Learning algorithms and leveraging data from LinkedIn profiles. …”
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    Thesis
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    Multi-Robot Learning with Bat Algorithm With Mutation (Bam) by Chandrathevan, Sathiamurthy

    Published 2022
    “…Several methods are under study to increase and optimize the working capabilities of multi robotic systems. These multi robotic systems or robot swarms have vast applications in industry as a human assistant to carry goods and can-do variety of jobs. …”
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    Undergraduates Project Papers
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    Job-Applicant matchmaking system using natural language processing by Wooi, Zhuang Ru

    Published 2023
    “…This Job-Applicant Matchmaking System using Natural Language Processing project is for academic purpose. …”
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    Final Year Project / Dissertation / Thesis
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    Job recruiting system using sorting Algorithm / Adi Asyraf Ayob by Ayob, Adi Asyraf

    Published 2020
    “…The sorting algorithm will assist the recruiters in selecting best job candidate by assigning score to each applicants and sort the applicant list by the finest score value. …”
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    Thesis
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    Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid by Ku-Mahamud, Ku Ruhana, Ramli, Razamin, Yusof, Yuhanis, Mohamed Din, Aniza, Mahmuddin, Massudi

    Published 2012
    “…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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    Monograph
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