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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  2. 2
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  3. 3
    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column

    Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

    Published 2005
    “…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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  4. 4
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  5. 5
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  6. 6
    Neighbour-based on-demand routing algorithms for mobile ad hoc networks

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…All the three proposed algorithms are evaluated using discrete event simulation, in particular Network Simulator tool (NS2), and compared with the latest routing algorithm (NCPR ) and fundamental algorithm (AODV) using five performance metrics. …”
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  7. 7
    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation by Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.

    Published 2020
    “…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. © 2020 by the authors.…”
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  8. 8
    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
    “…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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  9. 9
    IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks

    IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks by Gumaida, Bassam, Ibrahim, Adamu Abubakar

    Published 2024
    “…The proposed algorithm, named Intelligent Water Drops with Simulated Annealing (IWDSA), combines two powerful optimization methods: Intelligent Water Drops (IWD) and Simulated Annealing (SA). …”
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  10. 10
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…The ANN model has been developed using resilient back-propagation learning algorithm. …”
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  11. 11
    Immediate effect evaluation of a robotic ankle–foot orthosis with customized algorithm for a foot drop patient: a quantitative and qualitative case report

    Immediate effect evaluation of a robotic ankle–foot orthosis with customized algorithm for a foot drop patient: a quantitative and qualitative case report by Dimas Adiputra, Ully Asfari, Ubaidillah, Mohd Azizi Abdul Rahman, Ahmad Mukifza Harun

    Published 2023
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  12. 12
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
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    Monograph
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  13. 13
    On determination of input parameters of the mass transfer process by fuzzy approach.

    On determination of input parameters of the mass transfer process by fuzzy approach. by Maan, Normah, Talib, Jamalludin, Arshad, Khairil Annuar, Ahmad, Tahir

    Published 2005
    “…This is an extension of the work done on the mass transfer process of a single drop in single stage RDC column. The algorithm is based on fuzzy approach and the assumptions made in mass transfer process as adopted in previous work are also being used. …”
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  14. 14
    Recognising Malaysia traffic sign with rain drop disturbance using deep learning

    Recognising Malaysia traffic sign with rain drop disturbance using deep learning by Pang, Wan Chee

    Published 2022
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    Final Year Project / Dissertation / Thesis
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  15. 15
    Simulation of single and dual layered rapid pressure swing adsorption

    Simulation of single and dual layered rapid pressure swing adsorption by Lai, Yin Ling

    Published 2013
    “…It is also found that the oxygen product purity increases by almost 20% when the first layer is packed with Zeolite AgLiX and Zeolite 5A in the second layer. Higher pressure drop across the bed is induced when particles of smaller pressure drop are used in the first layer and particles of larger pressure drop are used in the second layer, hence leading to better separation. …”
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  16. 16
    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
    “…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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  17. 17
    Permeance based algorithm for computation of flux linkage characteristics of non-linear 6/4 Switched Reluctance Motor (SRM)

    Permeance based algorithm for computation of flux linkage characteristics of non-linear 6/4 Switched Reluctance Motor (SRM) by Tamjis, Mohamad Rom, Mat Hanafiah, Mohd Ariff, Ahmad Aizan, Zulkefle, Ibrahim, Mazree, Syed Salim, Syed Najib, Ab. Ghani, Mohd Ruddin, Ab.Rahman, Puteri Nur Suhaila, S. N. M. Shahril, Ahmed, Dawood Saleem, Mohamed Khairuddin, Mohamed Syafiq Akmal, Baharudin, Zikri Abadi, Abdul Rahman, Ahmad Idil, Zainon, Maslan, Abu Shah, Ismail, Mohd Ibrahim, Imran, Raja Abd Rahman, Raja Roslan, Wan Adnan, Wan Azizun

    Published 2016
    “…The aim of this paper is to develop an efficient algorithm exploiting the nonlinear feature of the 6/4 SRM using the aforementioned concept of permeance. …”
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  18. 18
    ALC cleaning device / Nur Liyana Sujak … [et al.]

    ALC cleaning device / Nur Liyana Sujak … [et al.] by Sujak, Nur Liyana, Azizan, Nur Azfarah, Rasid, Nur Amira, Yaacob, Hidayati Mardhiah, Borhan, Atikah

    Published 2017
    “…Compared to the current cleaner machine, this product has rapid cleaning action since it uses laser as the cleaning device. For safety features, this product has an anti-dropping algorithm thus limit the risk of it accidentally dropping from the window.…”
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    Entrepreneurship Project
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  19. 19
    Congestion management based optimization technique using bee colony

    Congestion management based optimization technique using bee colony by Rahim M.A., Musirin I., Abidin I.Z., Othman M.M., Joshi D.

    Published 2023
    “…The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. …”
    Conference Paper
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  20. 20
    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
    “…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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