Search Results - (( users perception study algorithm ) OR ( java application stemming algorithm ))

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  1. 1
    Behavioural influence of TikTok’s algorithm recommendations on users’ engagement and users’ self-persuasion / Siti Khadijah Amir Hamzah, Ahlam Abdul Aziz and Shazleen Mohamed

    Behavioural influence of TikTok’s algorithm recommendations on users’ engagement and users’ self-persuasion / Siti Khadijah Amir Hamzah, Ahlam Abdul Aziz and Shazleen Mohamed by Amir Hamzah, Siti Khadijah, Abdul Aziz, Ahlam, Mohamed, Shazleen

    Published 2025
    “…This study examines how TikTok's algorithm influences user behaviour, particularly in user engagement and self-persuasion. …”
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  2. 2
    Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim

    Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim by Tuan Ibrahim, Tuan Nur Azlina

    Published 2024
    “…The SVM-based sentiment analyzer offers a user-friendly tool bridging complex algorithms and practical applications. …”
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  3. 3
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…The comparison of results is based on the different user's perceptions, their involvement in the VIGA-20 and the difference of the fitness convergence as compared to Simple Genetic Algorithm.…”
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  4. 4
    Islamic media algorithms and halal perception in Malaysia

    Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudin

    Published 2025
    “…The study aims to assess Muslim users’ responses to online Halal-related material and evaluate the influence of algorithmic curation on their perceptions and decisions. …”
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  5. 5
    Islamic media algorithms and halal perception in Malaysia

    Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudi

    Published 2025
    “…The study aims to assess Muslim users’ responses to online Halal-related material and evaluate the influence of algorithmic curation on their perceptions and decisions. …”
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  6. 6
    Characteristics of electronic cigarette and vape users in Malaysia: Lessons from decision tree analysis

    Characteristics of electronic cigarette and vape users in Malaysia: Lessons from decision tree analysis by Kartiwi, Mira, Nik Mohamed, Mohamad Haniki, Ab Rahman, Jamalludin, Draman, Samsul, Ab Rahman, Norny Syafinaz

    Published 2020
    “…An Induction Decision Tree (ID3) algorithm, one of the renowned data mining technique, was used in this study. …”
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  7. 7
    Uncovering user perceptions toward digital banks in Indonesia: A Naïve Bayes sentiment analysis of twitter data

    Uncovering user perceptions toward digital banks in Indonesia: A Naïve Bayes sentiment analysis of twitter data by Karmagatri, Mulyani, Aziz, Clarisa Fezia Amanda, Asih, Wini Rizki Purnama, Jumbri, Isma Addi

    Published 2023
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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
    “…Sentiment Analysis is a field that deals with the problem of identifying and extracting sentiment (or opinion) from data (particularly textual data). Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. …”
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  9. 9
    Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis

    Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis by Kartiwi, Mira, Ab Rahman, Jamalludin, Nik Mohamed, Mohamad Haniki, Draman, Samsul, Ab Rahman, Norny Syafinaz

    Published 2017
    “…Hence, this study provides meaningful insights into understanding the different perceptions and characteristics between male and female current ECV users.…”
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  10. 10
    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan and Khairul Nizam Abd Halim

    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, Khairul Nizam

    Published 2023
    “…It employs the Naïve Bayes algorithm and Plotly library in Python to provide insights into customer perceptions, enhancing the fast-food brand experience in Malaysia. …”
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  11. 11
    A preliminary framework of measuring music attractiveness based on facial beauty theory

    A preliminary framework of measuring music attractiveness based on facial beauty theory by Hoo, Yong Leng, Mohd Norowi, Noris, Jantan, Azrul Hazri

    Published 2016
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  12. 12
    Enhanced notes capture using super resolution technique on tecogan

    Enhanced notes capture using super resolution technique on tecogan by Lee, Theresa Wen Yan

    Published 2023
    “…By using generative adversarial network (GAN), the quality of the visual perception can be greatly improved. TecoGAN, a new Artificial Intelligence (AI) Super-Resolution Algorithm will be introduced in this project. …”
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  13. 13
    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
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  14. 14
    Zero distortion-based steganography for handwritten signature

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…In this thesis, the human handwritten signature is introduced as a novel cover media (c) in conjunction with a steganography algorithm since there is a level of variability (i.e intra-user variability) within handwritten signature samples of an individual. …”
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  15. 15
    Social media as a source of political information: First-time voters and the influence of social media on political interest

    Social media as a source of political information: First-time voters and the influence of social media on political interest by Ng, Alicia Zi Qin, Jong, Ally Fang Yee, Choong, Wen Yee, Lee, Ming Yi, Nagadarshyini, Maniam

    Published 2023
    “…The contents of social media feed depend on the user’s social networking and social media algorithm, which are able to shape perceptions. …”
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  16. 16
    Real-time automated road damages inspection using deep convolutional neural networks

    Real-time automated road damages inspection using deep convolutional neural networks by Shahrul Munir, Mohamad Faiq Mohd, Bustamam, Muhammad Amiruddin, Ismail, Amelia Ritahani, Md Yusof, Norlia, Amir Hussin, Amir 'Aatieff

    Published 2023
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  17. 17
    Utilizing autonomous mobile robot to increase interest in STEM

    Utilizing autonomous mobile robot to increase interest in STEM by Tay T.T., Lim Z.Z., Chua Y.L.

    Published 2023
    Conference Paper
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  18. 18
    Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends

    Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends by Neetu, Sharma

    Published 2025
    “…Employing a quantitative research design, data were gathered through surveys of 1,500 users of an Indian e-commerce platform. Respondents provided insights on their interactions with green influencers, their perceptions of influencer authenticity and transparency, and the impact of ML-driven recommendations on purchase intent. …”
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