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  1. 1
    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi

    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi by Azmi, Aini

    Published 2016
    “…The objective of this research is to characterize YouTube video traffic on broadband network, to fit the original traffic to best traffic model and Bandwidth control algorithm is developed based on the real live traffic and using the fitted traffic model. …”
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  2. 2
    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi

    Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi by Azmi, Aini

    Published 2016
    “…The objective of this research is to characterize YouTube video traffic on broadband network, to fit the original traffic to best traffic model and Bandwidth control algorithm is developed based on the real live traffic and using the fitted traffic model. …”
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  3. 3
    The role of youtube in Malaysian university students’ media consumption: a focus on music and platform preferences

    The role of youtube in Malaysian university students’ media consumption: a focus on music and platform preferences by Heng, Amanda Yan Chwen

    Published 2024
    “…A positive correlation is found between the frequency of music consumption on YouTube and the algorithm’s effectiveness in understanding users' preferences. …”
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  4. 4
    Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques

    Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques by Ng, Jiun Shen

    Published 2022
    “…This project is about predicting energy consumption patterns based on trending videos on YouTube 2021 by using machine learning techniques. …”
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  5. 5
    Sentiment analysis on YouTube comments using machine learning techniques based on video games content

    Sentiment analysis on YouTube comments using machine learning techniques based on video games content by Adi Danish, Muhammad Amin, Bhuiyan, Mohaiminul Islam, Nur Shazwani, Kamarudin, Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai, Nur Syafiqah, Mohd Nafis

    Published 2026
    “…Utilizing YouTube API, comments related to various video games were collected and analyzed using the TextBlob sentiment analysis tool. …”
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  6. 6
    Modified hierarchical 3D-torus network

    Modified hierarchical 3D-torus network by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Horiguchi, Susumu

    Published 2005
    “…We also present a deadlock-free routing algorithm for the MH3DT network using two virtual channels and evaluate the network's dynamic communication performance under the uniform traffic pattern, using the proposed routing algorithm. …”
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  7. 7
    Detecting video spammers in YouTube social media

    Detecting video spammers in YouTube social media by Yusof, Yuhanis, Sadoon, Omar Hadeb

    Published 2017
    “…Even though the detection of malicious users is based on various features such as content details, social activity, social network analyzing, or hybrid, the detection rate is still considered low (i.e. 46%).This study proposes a new set of features by constructing features based on the Edge Rank algorithm.Experiments were performed using nine classifiers of different learning; decision tree, function-based and Bayesian. …”
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  8. 8
    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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  9. 9
    An efficient parallel clustering algorithm on big data using Spark

    An efficient parallel clustering algorithm on big data using Spark by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Nizamuddin, Mohammed Khaja, Sarkar, Rashel, Ahmed, S K Jamil

    Published 2022
    “…Here we are proposing a new parallel fuzzy clustering algorithm called "An efficient parallel clustering algorithm on big data using spark" which deals with real-time processing. …”
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  10. 10
    User song preferences using preference learning in artificial intelligence

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

    Published 2022
    “…The collaborative filtering will be used in this project. The future work for this project is to provide enough storage for the song to be downloaded into the dataset so that the user can play it immediately rather than relying on YouTube links.…”
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  11. 11
    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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  12. 12
    Consumer acceptance and perceptions of electric vehicles in Malaysia using sentiment analysis

    Consumer acceptance and perceptions of electric vehicles in Malaysia using sentiment analysis by Nor Farawahida Abdullah, Nur Haizum Abd Rahman

    Published 2025
    “…Key performance indicators, including accuracy, precision, and recall percentages, are used to assess the algorithm's performance. Results reveal that for the sentiment distribution, there is 55% positive and only 14% negative sentiment, while the remaining is neutral. …”
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  13. 13
    A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani

    A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani by Abd Ghani, Muhammad Asyraf

    Published 2021
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  14. 14
    Consumer acceptance and perceptions of electric vehicles in Malaysia using sentiment analysis

    Consumer acceptance and perceptions of electric vehicles in Malaysia using sentiment analysis by Nor Farawahida, Abdullah, Nur Haizum, Abd Rahman

    Published 2025
    “…Key performance indicators, including accuracy, precision, and recall percentages, are used to assess the algorithm's performance. Results reveal that for the sentiment distribution, there is 55% positive and only 14% negative sentiment, while the remaining is neutral. …”
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  15. 15
    Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification

    Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification by Wong S.Y., Yap K.S., Zhai Q., Li X.

    Published 2023
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  16. 16
    A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation

    A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…The proposed method has been validated using four commonly used video entity segmentation datasets: SegTrack V2, DAVIS 2016, CdNet 2014, and the Youtube-Object dataset. …”
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  17. 17
    A machine learning approach to movie recommendation system

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

    Published 2025
    “…This project presents a machine learning-based movie recommendation system aimed at providing accurate and personalized movie suggestions while addressing common industry challenges such as biased recommendations, data sparsity, and the cold start problem. Multiple algorithms—including K-Means with KNN, Singular Value Decomposition (SVD), and Matrix Factorization using Keras—were evaluated using Root Mean Square Error (RMSE) to identify the most effective model. …”
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  18. 18
    An integrated deep learning deepfakes detection method (IDL-DDM)

    An integrated deep learning deepfakes detection method (IDL-DDM) by Yassin, Warusia, Johan, Azwan, Abas, Zuraida Abal, Baharon, Mohd Rizuan, Bejuri, Wan, Ismail, Anuar

    Published 2024
    “…In addition, the Long Short-Term Memory (LSTM) approach is applied consecutively after CNN in order to grant sequential processing of data and overcome learning dependencies. Using this learning algorithm, several facial region characteristics such as eyes, nose, and mouth are extracted and further transformed into numerical form with the intention to identify video frames more precisely. …”
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  19. 19
    Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad

    Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad by Mahamad, Laina Sofia

    Published 2017
    “…Thirdly, to identify best traffic model based on fitted model in developing network traffic bandwidth control algorithms. MatLab Dfittool program is used to analyze and identify the best traffic model. …”
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  20. 20
    Digital diversification to expand the Indonesian radio industry: A Case Study of PRFM, Delta, and Dahlia Stations

    Digital diversification to expand the Indonesian radio industry: A Case Study of PRFM, Delta, and Dahlia Stations by Septiawan Santana Kurnia, Firmansyah, Dadi Ahmadi, Doddy Iskandar Cakranegara, Satya Indra Karsa, Erwin Kustiman

    Published 2023
    “…Digitization has made radio stations the business of news portals, global aggregator platforms, programmed journalism or algorithm journalism. How does the radio broadcasting business retain an audience and grow listeners across borders via Facebook, Twitter, Instagram, Youtube, TikTok, WhatsApp and Website? …”
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