Search Results - (( _ applications usage algorithm ) OR ( its application learning algorithms ))*

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  1. 1
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
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  2. 2
    A New Mobile Botnet Classification based on Permission and API Calls

    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…Mostly, it attacks Android due to its popularity and high usage among end users. Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
    Proceedings Paper
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  3. 3
    A new mobile botnet classification based on permission and API calls

    A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
    Conference Paper
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  4. 4
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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  5. 5
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2024
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  6. 6
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2023
    text::Final Year Project
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  7. 7
    Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali

    Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali by Mohd Adli , Md Ali

    Published 2017
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  8. 8
    ANALYSIS OF STOCK PRICE PREDICTION USING DATA MINING APPROACH

    ANALYSIS OF STOCK PRICE PREDICTION USING DATA MINING APPROACH by Mukhariz bin Muhamad, Mukhariz

    Published 2012
    “…It is anticipated that this analysis would become a platform for producing a prediction application that is reliable for usage in the future.…”
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  9. 9
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
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  10. 10
    Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm

    Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm by Shah, Abdul Salam, Mohamad Nasir, Haidawati, Fayaz, Muhammad, Lajis, Adidah, Ullah, Israr, Shah, Asadullah

    Published 2020
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  11. 11
    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems

    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems by Manu, Abdurrahman, Haja Mohideen, Ahmad Jazlan, Akhter, Muhammad Naveed, Ahmad Huzri, Muhammad Danial, Mohd Ibrahim, Azhar, Mohd Zaki, Hasan Firdaus, Sreeram, Victor

    Published 2025
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  12. 12
    An artificial neural network approach in service life prediction of building components in Malaysia based on local environment and building service load

    An artificial neural network approach in service life prediction of building components in Malaysia based on local environment and building service load by Tapsir, Siti Hamisah, Mohd. Yatim, Jamaludin, Usman, Fathoni

    Published 2007
    “…The back-propagation learning algorithm is used as learning model. The environment load factors, workmanship, design, usage and level of maintenance are used as input variables in training process of the neural network model. …”
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  13. 13
    The Crop Price Prediction Using Machine Learning: Preliminary Stage

    The Crop Price Prediction Using Machine Learning: Preliminary Stage by Ramya, T.K., Shreedhara N, Hegde, Mohd Norshahriel, Abd Rani

    Published 2024
    “…Its usage in the agriculture sector has comparable relevance. …”
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  14. 14
    Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building

    Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Muhammad Salihin, Saealal, Mohd Mawardi, Saari, Abu Zaharin, Ahmad

    Published 2024
    “…The methodology involves comparing KAN's performance with Artificial Neural Networks (NN) and a hybrid metaheuristic algorithm combined with deep learning, namely the Teaching-Learning-Based Optimization with Deep Learning (TLBO-DL). …”
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  15. 15
    Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building

    Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building by Sulaiman, Mohd Herwan, Mustaffa, Zuriani, Saealal, Muhammad Salihin, Saari, Mohd Mawardi, Ahmad, Abu Zaharin

    Published 2024
    “…The methodology involves comparing KAN’s performance with Artificial Neural Networks (NN) and a hybrid metaheuristic algorithm combined with deep learning, namely the Teaching-Learning-Based Optimization with Deep Learning (TLBO-DL). …”
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  16. 16
    Smote and OVO multiclass method for multiple handheld placement gait identification on smartphone’s accelerometer

    Smote and OVO multiclass method for multiple handheld placement gait identification on smartphone’s accelerometer by Abdul Raziff, Abdul Rafiez, Sulaiman, Nasir, Mustapha, Norwati, Perumal, Thinagaran

    Published 2017
    “…Gait identification has been a well-known type of biometric recognition for many purposes. However, the usage and its application are still limited due to uncertainty factors that lead to its lack of use. …”
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  17. 17
    DATDroid : Dynamic Analysis Technique in Android Malware Detection

    DATDroid : Dynamic Analysis Technique in Android Malware Detection by Rajan, Thangaveloo, Wong, Wan Jing, Chiew, Kang Leng, Johari, Abdullah

    Published 2020
    “…During the classification 70% of the dataset was allocated for training phase and 30% for testing phase using machine learning algorithm. Our experimental results achieved an overall accuracy of 91.7% with lower false positive rates as compared to benchmarked method. …”
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  18. 18
    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
    “…Fortunately, these issues can be addressed with machine learning methods such as deep learning(DL) due to its capacity in modeling highly non-linear phenomena, powerful generalization capability, and fast run-time. …”
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  19. 19
    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network

    Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network by Azian Azamimi, Uwate, Yoko, Nishio, Yoshifumi

    Published 2010
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  20. 20
    Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz

    Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz by Abdul Aziz, Azzatul Husna

    Published 2025
    “…The CRISP-DM methodology was followed to apply machine learning algorithms, namely Random Forest, Decision Tree, and Naive Bayes, to the data gathered in the library which is traffic, book rentals, and questionnaires. …”
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