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  1. 1

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…Although the swmcan algorithm solves the noise problem in multi-view data, its initial and final graphs are independent and cannot learn from each other. …”
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    Thesis
  2. 2

    Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

    Published 2019
    “…The coding is designed in such a way that there is a malicious attack to destroy the data. The system will automatically protect data and thus retrieve data at the end of the system. …”
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    Thesis
  3. 3

    A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications by Usmani, U.A., Happonen, A., Watada, J.

    Published 2022
    “…The traditional algorithms need data preparations while unsupervised algorithms can be prepared so that they can handle the data in war format. …”
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    Article
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  5. 5

    Clustering Student Performance Data Using k-Means Algorithms by Sultan Alalawi, Sultan Juma, Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini

    Published 2023
    “…Clustering, an unsupervised learning technique, is one of the most powerful machine- learning tools for discovering patterns and unseen data. …”
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    Article
  6. 6

    A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective by Ul haq, Riaz, Norrozila, Sulaiman, Muhammad, Alam

    Published 2013
    “…PEGASIS is greedy chain formation for data transfer. Each node sends and receives data from its nearest neighbor node. …”
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    Conference or Workshop Item
  7. 7

    Extreme learning machine classification of file clusters for evaluating content-based feature vectors by Ali, Rabei Raad, Mohamad, Kamaruddin Malik, Jamel, Sapiee, Ahmad Khalid, Shamsul Kamal

    Published 2018
    “…Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. …”
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    Article
  8. 8

    Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

    Published 2022
    “…The proposed IMVO-DLIDS model follows a three-stage process. At first, data pre-processing is performed to convert the actual data into useful format. …”
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    Article
  9. 9

    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles by Yaghoobi, Yousef, Bahiki, Muhammad Rijaluddin, Syaril Azrad

    Published 2019
    “…In addition, several different techniques and approaches for developing the algorithm is discussed as well. As per system requirements and conducted study, the algorithm that is developed for this Vision System is based on Tracking and On-Line Machine Learning approach. …”
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    Article
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    MFA-OSELM Algorithm For Wifi-Based Indoor Positioning System by AL-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Awang Md Isa, Azmi, AL-Saffar, Ahmed, Mohd Esa, Mona Riza, Malik, Reza Firsandaya

    Published 2019
    “…Facilitating the use of WiFi for this purpose requires fingerprint formation and the implementation of a learning algorithm with the aim of using the fingerprint to determine locations. …”
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    Article
  12. 12

    Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots by Agustian, David, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Yesi Novaria, Kunang

    Published 2022
    “…Then the numbers were captured using an android camera and saved in jpeg format. Furthermore, the author uses the python skimage module and GIMP for image processing and divides the dataset into 80% as training data and 20% as testing data. …”
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    Article
  13. 13

    Classification and prediction of obesity levels among subjects in Colombia, Peru, and Mexico using unsupervised and supervised learning by Suhaila, Bahrom, Anuar, Ab Rani, Aisyah Amalina, Mohd Noor

    Published 2024
    “…The study enhances understanding of obesity classification through machine learning and integrates data inspection, formatting, and exploration using Excel, Python, and graphical user interfaces (GUIs) such as SweetViz and PandaGui. …”
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    Article
  14. 14

    Sentiment analysis of customer reviews for Konda Kondi Cafe & Bistro by Abd Azizul Rahman, Munirah Syafiqah

    Published 2025
    “…Machine learning algorithms such as Support Vector Machine (SVM), Naive Bayes (NB), and Decision Tree (DT) were applied using RapidMiner to build classification models. …”
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    Student Project
  15. 15

    Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli by Rosli, Nur Nabilah Shafiqah

    Published 2022
    “…The significance of this study is the project would be able to help community especially to educator and children in their learning aids. Next, it is important for people to save and keeps data and documents well. …”
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    Student Project
  16. 16

    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
    “…We developed a set of prediction models with distinct machine learning algorithms. Decision tree triumph over other models and thus is further transformed into easily explicable format. …”
    Article
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    MFA-OSELM algorithm for WiFi-based indoor positioning system by Al-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Azmi Awang, Md Isa, Al-Saffar, Ahmed Ali Mohammed, Mona Riza, Mohd Esa, Reza Firsandaya, Malik

    Published 2019
    “…Facilitating the use of WiFi for this purpose requires fingerprint formation and the implementation of a learning algorithm with the aim of using the fingerprint to determine locations. …”
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    Article
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    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
    “…Techniques: Then, the decision-making process is used to analyze the customer’s data using the regression algorithm. Result: This results in the proposed model, the relationship of the many business models, the formation of the purchases that affect consumer needs, and the strategies that can be developed. …”
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    Article
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