Search Results - (( java application during algorithm ) OR ( variable abstraction model algorithm ))

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    A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

    Published 2017
    “…The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. …”
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    Article
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    An Intelligent Process Model for Manufacturing System Optimization by Ho , Kok Hoe, Kanesan , Muthusamy, Harikrishnan , Kanthen

    Published 2012
    “…The model sets inventory target variable to be achieved with automated computation through the data input from users. …”
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    Article
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    SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

    Published 2015
    “…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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    Final Year Project
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    Design of digital circuit structure based on evolutionary algorithm method by Chong, Kok Hen, Aris, Ishak, Bashi, Senan Mahmood, Koh, Johnny Siaw Paw

    Published 2008
    “…EAs introduce a new idea for automatic design of electronic systems; instead of imagine model, abstractions, and conventional techniques, it uses search algorithm to design a circuit. …”
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    Article
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    Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

    Published 2022
    “…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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    Academic Exercise
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    Advance speech recognition / Mohammad Amarulhariz Mohd Fairuz … [et al.] by Mohd Fairuz, Mohammad Amarulhariz, Mohd Nazri, Muhammad Aiman, Saharudin, Muhammad Haiqal, Hashim, Abdu Syafi Adil, Mahadhir, Khair Izz Khan, Saifol Bakhri, Muhammad Syazwi Hilmi, Shaidin, Sumayyah

    Published 2024
    “…Speech recognition technology has undergone remarkable progress in recent years, driven by advancements in artificial intelligence, machine learning algorithms, and neural network architectures. This paper reviews key methodologies and approaches utilized in modern speech recognition systems, highlighting the shift from traditional statistical models to deep learning techniques. …”
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    Book Section