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  1. 1
    Recommendation System Model For Decision Making in the E-Commerce Application

    Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

    Published 2024
    thesis::doctoral thesis
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  2. 2
    User authentication in public cloud computing through adoption of electronic personal synthesis behavior

    User authentication in public cloud computing through adoption of electronic personal synthesis behavior by Mohanaad Talal Shakir

    Published 2023
    “…Moreover, the learning process of the proposed algorithm for behavior recognition designed as a matching factor with a password during the authentication process. …”
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  3. 3
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adil Soomro, Zubair, Adrianshah, Andi

    Published 2023
    “…One of the aspects emphasized here is the difficulty of controlling the drone, and the system developed is still under full control by the users as well. Reinforcement Learning is used to enable the system to operate automatically, thus drone will learn the next movement based on the interaction between the agent and the environment. …”
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  4. 4
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Zubair Adil Soomro, Zubair Adil Soomro, Andi Adrianshah, Andi Adrianshah

    Published 2023
    “…One of the aspects emphasized here is the difficulty of controlling the drone, and the system developed is still under full control by the users as well. Reinforcement Learning is used to enable the system to operate automatically, thus drone will learn the next movement based on the interaction between the agent and the environment. …”
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  5. 5
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Soomro, Zubair Adil, Adrianshah, Andi

    Published 2023
    “…One of the aspects emphasized here is the difficulty of controlling the drone, and the system developed is still under full control by the users as well. Reinforcement Learning is used to enable the system to operate automatically, thus drone will learn the next movement based on the interaction between the agent and the environment. …”
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  6. 6
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adil Soomro, Zubair, Adrianshah, Andi

    Published 2023
    “…One of the aspects emphasized here is the difficulty of controlling the drone, and the system developed is still under full control by the users as well. Reinforcement Learning is used to enable the system to operate automatically, thus drone will learn the next movement based on the interaction between the agent and the environment. …”
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  7. 7
    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning

    Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning by Mohamad Hafiz Abu Bakar, Mohamad Hafiz Abu Bakar, Abu Ubaidah Shamsudin, Abu Ubaidah Shamsudin, Ruzairi Abdul Rahim, Ruzairi Abdul Rahim, Zubair Adil Soomro, Zubair Adil Soomro, Andi Adrianshah, Andi Adrianshah

    Published 2023
    “…One of the aspects emphasized here is the difficulty of controlling the drone, and the system developed is still under full control by the users as well. Reinforcement Learning is used to enable the system to operate automatically, thus drone will learn the next movement based on the interaction between the agent and the environment. …”
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  8. 8
    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…The adoption of DNN method into chatbot application produces a new generation chatbot that called as Generative-Based Chatbot. …”
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  9. 9
    Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao

    Sound quality classification of wood used for Sarawak traditional musical instrument- Sape / Wong Tee Hao by Wong , Tee Hao

    Published 2024
    “…To address dataset imbalances, Synthetic Minority Oversampling Technique was used, enhancing dataset quality before training 40 machine learning classification algorithms. …”
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  10. 10
    Serious game intelligent transportation system based on internet of things

    Serious game intelligent transportation system based on internet of things by Fressy, Nugroho, Asto Buditjahjanto, I Gusti Putu, Pebrianti, Dwi, Hammad, Jehad A. H, Moch, Fachri, Lestari, Tri Mukti, Maharani, Dian, Nurrahman, Alfina

    Published 2026
    “…Usability testing with 50 participants yielded an average system usability scale (SUS) score of 78.9, while expert evaluation using game design factor questionnaire (GDFQ) produced a mean of 4.19/5, both indicating high acceptance and positive user experience. …”
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  11. 11
    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model

    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

    Published 2023
    “…In the first stage, the model is pre-trained using unlabeled data with unsupervised learning. …”
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  12. 12
    Tag clouds algorithm with the inclusion of personality traits

    Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

    Published 2015
    “…In addition, a prototype was developed to evaluate the proposed algorithm. Then, user satisfaction was conducted in order to evaluate this prototype using Q-SAFI instruments. …”
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  13. 13
    A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search

    A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search by Bourair Sadik Mohamad Taqi

    Published 2024
    thesis::doctoral thesis
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  14. 14
    Adaptive method to improve web recommendation system for anonymous users

    Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

    Published 2011
    “…The second is Adaptive Web page Recommendation System (AWRS) which combines the classification algorithm of iPACT in addition to the ability of adaptive recommending due to the changes of the users‟ interests and weighting methods to deal with unvisited or new added pages. …”
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  15. 15
    Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland

    Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland by Azland, Fatin Nadhirah

    Published 2021
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  16. 16
    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS

    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS by MEHMOOD SHAH, SYED NASIR

    Published 2012
    “…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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  17. 17
    Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood

    Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood by Mahmood, Aminah

    Published 2004
    “…First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. …”
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  18. 18
    Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review

    Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review by Al-Qadhi, Abdulrahman K., Latip, Rohaya, Chiong, Raymond, Athauda, Rukshan, Hussin, Masnida

    Published 2025
    “…This review classifies the scheduling algorithms according to their QoS impact on both users and fog service providers (FSPs). …”
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  19. 19
    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias

    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias by Alias, Nur Farehah

    Published 2017
    “…Therefore, this project has proposed a method called token based alert notification. There are three algorithm developed for token based alert notification which is tokenization algorithm, token matching algorithm and item identification algorithm. …”
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  20. 20
    Effective query structuring with ranking using named entity categories for XML retrieval

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…Finally, the system employs a query formulation via node algorithm (QRYFv) algorithm to improve the selection of structured queries that best match user query Experiments have been conducted to evaluate the performance of the proposed enrichment method, XKQSS and RAXKQSS. …”
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