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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  2. 2
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  3. 3
    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin

    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

    Published 2012
    “…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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  4. 4
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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  5. 5
    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning

    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

    Published 2024
    Conference Paper
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  6. 6
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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  8. 8
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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  9. 9
    The Development of Color Based Visual Search Utility

    The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

    Published 2001
    “…Secondly, the color algorithm was developed to interpret natural expressions of content such as 10%, 20%, etc. …”
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  10. 10
    Waste management using machine learning and deep learning algorithms

    Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

    Published 2020
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  11. 11
    Risk perception modeling based on physiological and emotional responses / Ding Huizhe

    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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  12. 12
    Formulation of macro-micro safety predictors in high-rise construction sites based on dematel algorithm

    Formulation of macro-micro safety predictors in high-rise construction sites based on dematel algorithm by Kang, Chun Xiang

    Published 2024
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  13. 13
    Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni

    Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni by Mad Rosni, Nurul Najihah

    Published 2023
    “…Artificial intelligence (AI) is a subfield of computer science that enables machine to perceive and develop human-like inputs for perception, knowledge representation, reasoning, planning and problem solving, so they may cope with complex and fuzzy issues in a deliberate, intelligent and adaptive way. …”
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  14. 14
    Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli

    Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

    Published 2018
    “…Consequently, new rules and algorithm that is MustFront rule, limitation rule, and two-steps pitch contour algorithm are introduced to increase the synthesized speech quality. …”
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  15. 15
    Overview of Evolutionary Algorithms and Neural Networks for Modern Mobile Communication

    Overview of Evolutionary Algorithms and Neural Networks for Modern Mobile Communication by Lida Kouhalvandi, Ibraheem Shayea, Serdar Ozoguz, Hafizal Mohamad

    Published 2024
    journal::journal article
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  16. 16
    Real-time automated road damages inspection using deep convolutional neural networks

    Real-time automated road damages inspection using deep convolutional neural networks by Shahrul Munir, Mohamad Faiq Mohd, Bustamam, Muhammad Amiruddin, Ismail, Amelia Ritahani, Md Yusof, Norlia, Amir Hussin, Amir 'Aatieff

    Published 2023
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  17. 17
    The relationships between brand attributes and word of mouth on brand identity and brand image

    The relationships between brand attributes and word of mouth on brand identity and brand image by Al Kasassbh, Hazem Mohamad Abd Al Ghany

    Published 2017
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  18. 18
    Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad

    Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad by Iftikhar , Ahmad

    Published 2019
    “…Furthermore, a self-location calculation algorithm is developed to enable vehicles to calculate their location in the absence of global positioning system (GPS) signals. …”
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  19. 19
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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  20. 20
    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling

    Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling by Nurbaiti, Wahid, Hairi, Zamzuri, Noor Hafizah, Amer, Dwijotomo, Abdurahman, Sarah ‘Atifah, Saruchi

    Published 2024
    “…A particle swarm optimization algorithm is used to optimize the knowledge database information that is developed based on the perception of driver toward risk in the driving environment. …”
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