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  1. 1

    Evaluation of Visual Network Algorithms on Historical Documents by Khairunnisa, Binti Ibrahim

    Published 2020
    “…Therefore, for a new document, evaluation of algorithms is ineluctable. …”
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    Thesis
  2. 2

    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system by Loo, Chang Herng, Muhammad Zulfahmi Toh, Abdullah, Ahmad Fakhri, Ab. Nasir, Nur Shazwani, Kamaruddin, Nur Hafieza, Ismail

    Published 2023
    “…This research paper conducts a comparative analysis of three algorithms: genetic algorithm, hill climbing algorithm, and particle swarm optimization algorithm, with a focus on evaluating their performance in scheduling presentations. …”
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    Article
  3. 3

    Performance evaluation of marker recognition algorithm for mobile augmented reality in the real environment by Siok, Yee Tan, Haslina Arshad

    Published 2023
    “…Hence, a performance evaluation of the AR algorithm in a real controlled environment is proposed in this paper. …”
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    Evaluating Layout and Clustering Algorithms for Visualizing Named Entity Graph by Ibrahim, K., Ranaivo-Malançon, Bali, Lim, T., Cheah, Y.N.

    Published 2017
    “…Consequently, it is hard for researchers to select the appropriate algorithms that fulfill their needs. This paper intends to assist the researchers by presenting the performance evaluation of the combination of graph layout algorithm followed by a clustering algorithm. …”
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    Article
  7. 7

    Assignation of PSM evaluator using genetic algorithm by Yap, Suet Lee

    Published 2012
    “…The purpose of this paper is to present a design of development for Assignation of PSM Evaluator using Genetic Algorithm(APEGA)system.This is an application system that is used to assist the Faculty of Computer System and Software Engineering(FSKKP)of University Malaysia Pahang(UMP)in matching the optimum evaluators for the students in PSM presentation carnival.In the methodology part,a development model which involves with client participation is designed in order to use in the development of this project.The target user of the system is PSM coordinator who is responsible in assigning the PSM evaluator.Assignation of PSM Evaluator using Genetic Algorithm APEGA)is expected to be able in developing a well-distributed matching and overcoming the relevant constraints in an intelligent way. …”
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    Undergraduates Project Papers
  8. 8

    Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions by Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Mohd Riduwan, Ghazali, Kian, Sheng Lim, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz, Marizan, Mubin, Norrima, Mokhtar

    Published 2014
    “…This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. …”
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    Article
  9. 9

    Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall by Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Rahardjo, H., Isa, M.H.

    Published 2013
    “…The performance of the training algorithms was evaluated using standard performance evaluation measures—root mean square error, coefficient of efficiency, and the time and number of epochs required to reach a predefined accuracy. …”
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    Citation Index Journal
  10. 10

    Performance evaluation of vector evaluated gravitational search algorithm II by Muhammad, B., Ibrahim, Z., Ghazali, K.H., Ghazali, M.R., Mubin, M., Mokhtar, M.

    Published 2014
    “…This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. …”
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    Conference or Workshop Item
  11. 11

    Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems by Zuwairie, Ibrahim, Badaruddin, Muhammad, Kamarul Hawari, Ghazali, Lim, Kian Sheng, Sophan Wahyudi, Nawawi, Zulkifli, Md. Yusof

    Published 2012
    “…The proposed algorithm, which is called Vector Evaluated Gravitational Search Algorithm (VEGSA), uses a number of populations of particles. …”
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    Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods by Salih, Rawia Tahrir

    Published 2021
    “…The evaluation criteria of Many Objective Optimization algorithm (MaOO) play a critical role in evaluating the competition MaOO algorithms. …”
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    Thesis
  15. 15

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The output of the aggregation algorithms of NN ensembles are compared with a Naive approach. …”
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  16. 16

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The output of the aggregation algorithms of NN ensembles are compared with a Naive approach. …”
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    Conference or Workshop Item
  17. 17

    Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2013
    “…The output of the aggregation algorithms of NN ensembles are compared with a Naive approach. …”
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    Conference or Workshop Item
  18. 18

    A Comparative Study Of Blockchain Algorithms For Non-Fungible Token by Woo, Jan Yin

    Published 2023
    “…Therefore, this research will be a breakthrough of NFTs which could evaluate the performance of blockchain algorithms and determine the most suitable algorithms that may apply to NFTs. …”
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    Undergraduates Project Papers
  19. 19

    Logic Algorithm for contour following task: An evaluation using Adept SCARA Robot by Anton, S P, Samsi , Md. Said, M.A., Burhanuddin

    Published 2010
    “…This paper presents the performance evaluation of logic algorithms for contourfollowing task in order to automate the manual programming process. …”
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    Article
  20. 20

    Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review by Uddin, Mueen, Darabidarabkhani, Yasaman, Shah, Asadullah, Memon, Jamshed

    Published 2015
    “…The three algorithms are evaluated for performance using three parameters; power efficiency, cost effectiveness, and amount of CO2 emissions. …”
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