Search Results - (( developing conflicts perceptions algorithm ) OR ( java learning classification algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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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    Thesis
  3. 3

    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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    Thesis
  4. 4

    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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    Monograph
  5. 5
  6. 6

    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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    Article
  7. 7

    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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    Thesis
  8. 8

    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

    تأثير الذكاء الاصطناعي على رؤية الشباب للزواج: بين الفرص الرقمية والتحديات الاجتماعية by Asma Akli Soualhi

    Published 2026
    “…The results also indicate that recommendation systems and algorithms in dating apps can be beneficial if guided by ethical and legal frameworks, supporting decision-making autonomy and reducing digital risks. …”
    conference output::conference proceedings::conference paper
  10. 10

    رد الهدايا الرقمية عند فسخ الخِطبة بين الفقه المالكي والقانون الليبي: مقارنة في وضوح النص وإشكالية الإثبات... by Hassan Ali Bihij Ali, Thuraya Ahmad

    Published 2026
    “…The results also indicate that recommendation systems and algorithms in dating apps can be beneficial if guided by ethical and legal frameworks, supporting decision-making autonomy and reducing digital risks. …”
    conference output::conference proceedings::conference paper
  11. 11

    تأثير الذكاء الاصطناعي على رؤية الشباب للزواج: بين الفرص الرقمية والتحديات الاجتماعية (دراسة مقاصدية) = The impact of artificial intelligence on young people's views of marriage:... by Soualhi, Asma Akli

    Published 2025
    “…The results also indicate that recommendation systems and algorithms in dating apps can be beneficial if guided by ethical and legal frameworks, supporting decision-making autonomy and reducing digital risks. …”
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    Proceeding Paper