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  1. 1
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  2. 2
    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems

    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

    Published 2025
    “…Machine Learning Techniques for Customer Behavior Analysis: Customer satisfaction can be identified for online purchasing using the machine learning method. …”
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  3. 3
    i-ManGoeS

    i-ManGoeS by Ahmad, Khairul Adilah, Abdul Malik, Anis Faradella

    Published 2017
    “…Then, the features are extracted from the object. Finally fuzzy learning algorithm will formulate the object features to classify the children activity and satisfaction.…”
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    Book Section
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  4. 4
    A machine learning approach to movie recommendation system

    A machine learning approach to movie recommendation system by Saw, Zi Jin

    Published 2025
    “…This work demonstrates the potential of intelligent systems to improve user satisfaction in digital media platforms.…”
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    Final Year Project / Dissertation / Thesis
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  5. 5
    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia

    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia by A Rahim, Afiq Izzudin

    Published 2022
    “…However, no statistically significant association between hospital accreditation and internet sentiment and patient satisfaction has been identified. Conclusion: Using data acquired from FB reviews and machine learning algorithms, a pragmatic and practical strategy for eliciting patient perceptions of service quality and supplementing standard patient satisfaction surveys has been created. …”
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  6. 6
    A framework of modified adaptive neuro-fuzzy inference engine

    A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

    Published 2012
    “…The results of benchmark problems have shown improvement, competitiveness and satisfaction by showing a better system performance index with a less number of rules in each high input application. …”
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  7. 7
    Automated bilateral negotiation with incomplete information in the e-marketplace.

    Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

    Published 2011
    “…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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  8. 8
    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan

    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan by Roslan, Muhammad Amirul

    Published 2025
    “…Usability testing, using the System Usability Scale (SUS), resulted in a high score of 79.08, indicating strong user satisfaction. …”
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  9. 9
    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children

    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children by Yeoh, Sing Hsia

    Published 2011
    “…Besides spell checking, this system has a complete, step by step learning method with audio output. …”
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    Thesis
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  10. 10
    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)

    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision) by Sharvinteraan, C. Mogan

    Published 2023
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    Undergraduates Project Papers
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  11. 11
    Sentiment analysis of customer review for Tina Arena Beauty

    Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

    Published 2025
    “…Future work may involve expanding the dataset, integrating real-time feedback systems, and evaluating advanced algorithms to improve classification performance further. …”
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    Student Project
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  12. 12
    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour

    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour by Pebrianti, Dwi, Ariawan, Angga, Bayuaji, Luhur, Mahdiana, Deni, ,, Rusdah

    Published 2022
    “…In this study, an automatic system based on Machine Learning will be designed for the technicians work distribution by using a combination of k Nearest Neighbor (k-NN) and Naïve Bayes. …”
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    Proceeding Paper
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  13. 13
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  14. 14
    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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  15. 15
    A review and comparative analysis of predictive models for supply chain demand forecasting

    A review and comparative analysis of predictive models for supply chain demand forecasting by Ibrahim Ahmed Omer, Rehab, Hassan, Raini, S. Abd. Aziz, Madihah

    Published 2026
    “…This study reviews key techniques, including statistical time-series models, supervised and unsupervised learning algorithms, ensemble methods, and deep learning architectures. …”
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    Proceeding Paper
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  16. 16
    Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

    Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging by Christian, Hans, Suhartono, Derwin, Chowanda, Andry, Kamal Z., Zamli

    Published 2021
    “…To date, there are many algorithms that can be used to extract embedded contextualized word from textual data for personality prediction system; some of them are based on ensembled model and deep learning. …”
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  17. 17
    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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    Thesis
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  18. 18
    Gamification of Regional Tourism Engagement: Analysis and Design of a Web-Based Information System

    Gamification of Regional Tourism Engagement: Analysis and Design of a Web-Based Information System by Johannes Hamonangan, Siregar, Rufman Iman, Akbar, Augury, El Rayeb, Chaerul, Anwar, Suriati Khartini, Jali, Mohamad Imran, Bandan, Phei Chin, Lim, Abby Lian, Hendrick

    Published 2025
    “…The system integrates a structured gamification algorithm with a scalable relational database model, built using React.js and Firebase, to ensure responsive and consistent user experiences. …”
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    Proceeding
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  19. 19
    A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing

    A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing by Kumar, R., Hassan, M.F., Adnan, M.H.M.

    Published 2022
    “…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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    Conference or Workshop Item
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  20. 20
    A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing

    A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing by Kumar, R., Hassan, M.F., Adnan, M.H.M.

    Published 2022
    “…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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