Search Results - (( developing implementation phase algorithm ) OR ( learning implementation using algorithm ))

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  1. 1
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…All the algorithm for the engine has been developed by using Java script language. …”
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  2. 2
    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis

    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

    Published 2017
    “…This project is about developing a Dam Haji game using A* search algorithm. …”
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  3. 3
    Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani

    Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani by Ghani, Mazuraini

    Published 2005
    “…This project is all about implementing the back-propagation neural network algorithm in classification of face expression. …”
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  4. 4
    Jogging activity recognition using k-NN algorithm

    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…The k-NN algorithm is a simple and easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. …”
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    Academic Exercise
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  5. 5
    Bipartite graph approach to course timetabling problems / Hafizah A Razak

    Bipartite graph approach to course timetabling problems / Hafizah A Razak by A Razak, Hafizah

    Published 2009
    “…The next phase is to design and implement the prototype based on the requirements from phase three. …”
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  6. 6
    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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  7. 7
    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks

    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

    Published 2020
    “…Many algorithms have been developed for automated electrocardiogram (ECG) classification. …”
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  8. 8
    REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE

    REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE by MOHAMED AMEEN MASHOOD, MOHAMED ABUL HASSAN

    Published 2015
    “…The influence of illumination variance has been a major challenge in many background modeling algorithms. Previously developed algorithms which intend to solve this issue produced poor object segmentation or consumed substantial amount of computational time, which made them not implementable at real time. …”
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  9. 9
    Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics

    Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Shatat, Abdallah Saleh Ali, Akhtar, Md. Mobin, Rizwanullah, Mohammed, Mohamed, Sara Saadeldeen Ibrahim

    Published 2024
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  10. 10
    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan

    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan by Redzuan, Nur Amalina

    Published 2013
    “…As the solution, this project is conducted on the purpose to determine the polarity of the sentiment in the newspapers sentences. This project is implemented based on five phases in methodology part which consists of background study, data collection and preparation, prototype design, prototype development and evaluation and dociunentation. …”
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  11. 11
    Simulink Implementation of Digital Cascade Control DC Motor Model - A didactic approach

    Simulink Implementation of Digital Cascade Control DC Motor Model - A didactic approach by Kamarudin, Muhammad Nizam, Md Rozali, Sahazati

    Published 2008
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  12. 12
    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif

    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

    Published 2014
    “…The objective of this study is to suggest the potential classification model for talent forecasting throughout some experiments using SVM learning algorithm. In the experimental phase, we use employee’s performance data from selected organization to develop talent classification model which can be used to handle some tasks in talent management. …”
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    Research Reports
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  13. 13
    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING

    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING by LOH, WENG KEONG

    Published 2023
    “…In the classification phase, the system uses the extracted features to classify the fruits using a machine learning algorithm – a backpropagation neural network (BPNN). …”
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    Final Year Project Report / IMRAD
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  14. 14
    Implementation of case-based reasoning in help desk system

    Implementation of case-based reasoning in help desk system by Tee, Shih Min

    Published 2019
    “…The aim of this research is to design and develop a Help Desk System used by tourism sector by applying Case-based Reasoning (CBR) algorithm. …”
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    Undergraduates Project Papers
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  15. 15
    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail

    Development of durian ontology from unstructured text and external knowledge source / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

    Published 2014
    “…Then, the basic element is use ontology editor for implementation phase. The last phase is to validate the ontology by using competency question and Agrovoc class alignment. …”
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  16. 16
    Mobile application for blood donation using geolocation and rule-based algorithm / Muhammad Firzan Azrai Nuzilan and Mohd Ali Mohd Isa

    Mobile application for blood donation using geolocation and rule-based algorithm / Muhammad Firzan Azrai Nuzilan and Mohd Ali Mohd Isa by Nuzilan, Muhammad Firzan Azrai, Mohd Isa, Mohd Ali

    Published 2021
    “…Last but not least, the application can be improved by implementing the machine learning that can help to predict the blood donor behavior and also the timing of the blood shortage.…”
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    Book Section
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  17. 17
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
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  18. 18
    Unified neural network controller of series active power filter for power quality problems mitigation

    Unified neural network controller of series active power filter for power quality problems mitigation by Ghazanfarpour, Behzad

    Published 2013
    “…First, Widrow-Hoff algorithm is examined and its constant learning rate is modified by adding an adaptive learning rule to change the learning rate value. …”
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  19. 19
    Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model

    Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model by Mohamad Hussin, Ummu Salmah

    Published 2004
    “…An adaptive sigmoid function is implemented to achieve this objective. A typical or fixed sigmoid function method is used in learning phase. …”
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  20. 20
    Breast cancer detector software (BCDS) using case-based reasoning

    Breast cancer detector software (BCDS) using case-based reasoning by Ahmad Bukhari, Abdullah

    Published 2015
    “…The calculation that used to calculate the similarity measure is called Feature-Based Similarity Measure algorithm.…”
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    Undergraduates Project Papers
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