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  1. 1
    Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals

    Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals by Neili, Zakaria, Sundaraj, Kenneth

    Published 2025
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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
    “…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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  3. 3
    CSC728 - Machine Learning / College of Computing, Informatics and Media

    CSC728 - Machine Learning / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

    Published 2022
    “…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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  4. 4
    CSC728: Machine Learning / College of Computing, Informatics and Mathematics

    CSC728: Machine Learning / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

    Published 2017
    “…The ability to learn is a fundamental characteristic of intelligent behavior. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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  5. 5
    A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems

    A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems by Joe Henry Obit, Rayner Alfred, Mansour Hassani Abdalla

    Published 2017
    “…When coupled with two, four and six agents, the Asynchronous Cooperative Distributed Hyper-heuristic (ACDHH) algorithm is able to improve the solution quality for a large instance.…”
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  6. 6
    Fast sequential learning methods on RBF-network using decomposed training algorithms

    Fast sequential learning methods on RBF-network using decomposed training algorithms by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George W

    Published 2004
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  7. 7
    An artificial intelligence approach to monitor student performance and devise preventive measures

    An artificial intelligence approach to monitor student performance and devise preventive measures by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

    Published 2023
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  8. 8
    Hybrid Metaheuristic Algorithm and Metaheuristic Performance Measurement for Solving University Course Timetabling Problem

    Hybrid Metaheuristic Algorithm and Metaheuristic Performance Measurement for Solving University Course Timetabling Problem by Md Sultan, Abu Bakar

    Published 2007
    “…This research focused on the implementation of an hybrid evolutionary metaheuristic namely Two_point Hybrid Evolutionary Algorithm (Tp_HEA) on university course timetabling problem instances (UCTP). …”
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  9. 9
    Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study

    Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study by Lestari, Widya, Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, faridah, Nur, Sukotjo, Cortino, Ismail, Azlini, mohamad ibrahim, mohamad shafiq, Insani, Nashuha, Utomo, Chandra Prasetyo

    Published 2024
    “…RF was the most precise algorithm for predicting grades A, B, and C, followed by LR, DT, and SVM. …”
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  10. 10
    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph

    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

    Published 2023
    “…The course was divided into two groups, an experimental group and a control group. …”
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  11. 11
    Automatic assessment for engineering drawing

    Automatic assessment for engineering drawing by Goh, K.N., Mohd. Shukri, S.R., Manao, R.B.H.

    Published 2013
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  12. 12
    Raising Fairness Issue of Vehicle Routing Problem

    Raising Fairness Issue of Vehicle Routing Problem by Azad, Saiful, Badia, Leonardo, Rahman, Md. Arafatur, Jasni, Mohamad Zain

    Published 2016
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  13. 13
    E4ML: Alat untuk pembelajaran perlombongan data

    E4ML: Alat untuk pembelajaran perlombongan data by Sainin, Mohd Shamrie, Siraj, Fadzilah

    Published 2004
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  14. 14
    Object Isolation With Minimal Impact Towards The Object Of Interest In A Complex Environment Using Manipulation Primitives

    Object Isolation With Minimal Impact Towards The Object Of Interest In A Complex Environment Using Manipulation Primitives by Quah, Jit Shen, Miskon, Muhammad Fahmi, Mohd Annuar, Khalil Azha

    Published 2019
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  15. 15
    Teaching and learning via chatbots with immersive and machine learning capabilities

    Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

    Published 2019
    “…The paper describes the development of intelligent chatbots that had been built for Java programming course. …”
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  16. 16
    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis

    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

    Published 2025
    “…The dataset of 297 instances comprised attributes such as Course Code, Course Name, Course Type, Faculty, Program, Campus, Total Number of Students Enrolled and Approval Status. …”
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  17. 17
    Handbook of Machine Learning for Computational Optimization: Applications and Case Studies

    Handbook of Machine Learning for Computational Optimization: Applications and Case Studies by Jain, V., Juneja, S., Juneja, A., Kannan, R.

    Published 2021
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  18. 18
    Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach

    Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach by Waidah Ismail, Ismail Ahmed Al-Qasem Al-Hadi, Crina Grosan, Rimuljo Hendradi

    Published 2024
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  19. 19
    Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System

    Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System by Al-Barazanchi I., Hashim W., Ahmed Alkahtani A., Rasheed Abdulshaheed H., Muwafaq Gheni H., Murthy A., Daghighi E., Shawkat S.A., Jaaz Z.A.

    Published 2023
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  20. 20
    A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment

    A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment by Hassan, Mustafa Hamid, Jubair, Mohammed Ahmed, A. Mostafa, Salama, Kamaludin, Hazalila, Mustapha, Aida, Md Fudzee, Mohd Farhan, Mahdin, Hairulnizam

    Published 2020
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