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  1. 1
    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool

    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…The mass production hasn’t initiated due to the inefficiency of the process and the dependency on experts. EDI GmbH in collaboration with Karlsruhe Institute of Technology (KIT) are working on the solution (AI-based tool for predictive process optimization for chemical plants) for the above-mentioned problem. …”
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  2. 2
    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS

    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS by Thayaaleni, Rajandran

    Published 2019
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    Final Year Project Report / IMRAD
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  3. 3
    User song preferences using preference learning in artificial intelligence

    User song preferences using preference learning in artificial intelligence by Goh, Beng Jun

    Published 2022
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  4. 4
    A collaborative filtering approach using machine learning and business intelligence: a critical review

    A collaborative filtering approach using machine learning and business intelligence: a critical review by Muhamad Ibrahim, Najhan, Abiduzzaman, S M, Abdul Raziff, Abdul Rafiez, Shah, Asadullah

    Published 2025
    “…Specifically, we discovered that combining deep learning techniques with reinforcement learning algorithms enhanced recommendation reliability by 35% while improving user engagement measures by 25%. …”
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  5. 5
    Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images

    Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images by Adil Humayun, Khan

    Published 2024
    “…In this research, we evaluate proposed algorithms on two datasets, International Skin Imaging Collaboration (ISIC) and PH2 (Dermatology Service of Hospital Pedro Hispano, Matosinhos, Portugal). …”
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  6. 6
    Temporal integration based factorization to improve prediction accuracy of collaborative filtering

    Temporal integration based factorization to improve prediction accuracy of collaborative filtering by Al-Qasem, Al-Hadi Ismail Ahmed

    Published 2016
    “…The data sparsity problem has been solved by several approaches such as Bayesian probabilistic, machine learning, genetic algorithm, particle swarm optimization and matrix factorization. …”
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  7. 7
    Distributed Multi-Feature Recognition Scheme for Greyscale Images

    Distributed Multi-Feature Recognition Scheme for Greyscale Images by Muhamad Amin , Anang Hudaya, Khan, Asad I.

    Published 2011
    “…The results show that our approach produces high recognition accuracy through a simple distributed process. Furthermore, our approach implements single-cycle learning known as collaborative-comparison learning where new patterns are continuously stored using collaborative approach without affecting previously stored patterns. …”
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  8. 8
    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm

    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

    Published 2025
    “…The SVM algorithm, a supervised learning model, plays a crucial role in improving the efficiency of tool selection, ultimately enhancing the speed and adaptability of vulnerability detection processes. …”
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  9. 9
    Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems

    Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems by Mwinyi, Amir Kombo

    Published 2017
    “…This model enhances the interoperability and collaboration of HLIs in terms of synchronization and sharing of learning contents. …”
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  10. 10
    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)

    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

    Published 2025
    “…Grounded in constructivist and socio-cultural theories, these technologies promote collaboration, creativity, and learner autonomy through adaptive learning pathways and real-time feedback. …”
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  11. 11
    LinguaBridge – academic digital scaffold

    LinguaBridge – academic digital scaffold by Gnanasagaran, Puvana, Jamaludin, Syaliana

    Published 2025
    “…Integrating advanced natural language processing (NLP), adaptive learning algorithms, and collaborative tools, LinguaBridge effectively addresses the challenges TESL students face when navigating complex academic texts. …”
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  12. 12
    Kodepoly: an engaging approach to blended futuristic learning in coding

    Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

    Published 2024
    “…By combining the strategic elements of Monopoly with a curriculum comprised of coding challenges, debugging exercises, and algorithmic puzzles, Kodepoly aims to render the learning process both enjoyable and substantial in content. …”
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    Proceeding Paper
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  13. 13
    Web service applications and consumer environments based on ICT-driven optimization

    Web service applications and consumer environments based on ICT-driven optimization by Fan, Chaozhi, Law, Siong Hook, Ibrahim, Saifuzzaman, Ahmad, Mohd Naseem

    Published 2022
    “…In the field of web service application and consumer environment optimization, it has been shown that the introduction of network embedding methods can effectively alleviate the problems such as data sparsity in the recommendation process. However, existing network embedding methods mostly target a specific structure of network and do not collaborate with multiple relational networks from the root. …”
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  14. 14
    Impact of Computational Thinking and Computer Science (CTCS) Teaching Technique at Seleceted Schools in Sarawak : A Qualitative Analysis

    Impact of Computational Thinking and Computer Science (CTCS) Teaching Technique at Seleceted Schools in Sarawak : A Qualitative Analysis by Nor Iqbal, Mohd Sait, Noor'ain, Aini, Kartinah, Zen

    Published 2023
    “…This paper aimed to explore the impact of the implementation of CTCS in the teaching-learning process by obtaining descriptive information through interviews with selected teachers and students. …”
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  15. 15
    Student resource exchange: a web-based system for sharing educational resources among students

    Student resource exchange: a web-based system for sharing educational resources among students by Saw, Hui Loo

    Published 2025
    “…This system aims to provide a more efficient, user-friendly, and engaging platform for students to exchange educational resources, ultimately fostering a more collaborative and accessible learning environment.…”
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  16. 16
    FURIA stacking ensemble for ASD classification

    FURIA stacking ensemble for ASD classification by Ainie Hayati, Noruzman, Ngahzaifa, Ab Ghani, Nor Saradatulakmar, Zulkifli

    Published 2022
    “…However, screening tools consist of specific criteria domain rules such as behaviour, communication, and social emotions that comprise various questions, resulting in excessive questions and significantly lengthening the autism screening process. Instead of relying on conventional domain expert rules, one possible solution is adapting fuzzy rules by proposing the Fuzzy Unordered Rule Induction Algorithm (FURIA) and the machine learning algorithms by collaborating them into the stacking ensemble framework. …”
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  17. 17
    The classification of impact signal of 6 DOF cobot by means of machine learning model

    The classification of impact signal of 6 DOF cobot by means of machine learning model by Kai, Gavin Lim Jiann, Ahmad Fakhri, Ab Nasir, Anwar, P. P. Abdul Majeed, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Li, Lim Thai

    Published 2022
    “…This study aims to use machine learning algorithms as a mean to identify the cobot pick and place process offset error using vibrational signals. …”
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  18. 18
    The classification of impact signal of 6 DOF cobot by means of machine learning model

    The classification of impact signal of 6 DOF cobot by means of machine learning model by Kai, Gavin Lim Jiann, Ahmad Fakhri, Ab. Nasir, P.P. Abdul Majeed, Anwar, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Li, Lim Thai

    Published 2022
    “…This study aims to use machine learning algorithms as a mean to identify the cobot pick and place process offset error using vibrational signals. …”
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  19. 19
    The adaptability of Industrial Revolution 4.0 technology in valuation field / Asmida Shafina Osman

    The adaptability of Industrial Revolution 4.0 technology in valuation field / Asmida Shafina Osman by Osman, Asmida Shafina

    Published 2023
    “…The study reveals that the majority of valuers have embraced IR4.0 technologies, finding them beneficial for simplifying work processes and making informed decisions. Drones and GIS systems have been utilized for property inspections and site analysis, while Al and ML algorithms have automated data analysis, leading to improved decision-making. …”
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  20. 20
    The adaptability of Industrial Revolution 4.0 in valuation field / Asmida Shafina Osman and Nor Azalina Yusnita Abdul Rahman

    The adaptability of Industrial Revolution 4.0 in valuation field / Asmida Shafina Osman and Nor Azalina Yusnita Abdul Rahman by Osman, Asmida Shafina, Abdul Rahman, Nor Azalina Yusnita

    Published 2023
    “…The study reveals that the majority of valuers have embraced IR4.0 technologies, finding them beneficial for simplifying work processes and making informed decisions. Drones and GIS systems have been utilized for property inspections and site analysis, while AI and ML algorithms have automated data analysis, leading to improved decision-making. …”
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