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  1. 1
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
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  2. 2
    Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging

    Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging by Norhasmira, Mohammad, Anuar Mikdad, Muad, Rohana, Ahmad, Mohd Yusmiaidil, Putera Mohd Yusof

    Published 2022
    “…Background: This study aims to propose the combinations of image processing and machine learning model to segment the maturity development of the mandibular premolars using a Keras-based deep learning convolutional neural networks (DCNN) model. …”
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  3. 3
    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
    “…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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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
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
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  5. 5
    A review on sentiment analysis model Chinese Weibo text

    A review on sentiment analysis model Chinese Weibo text by Dawei Wang, Rayner Alfred

    Published 2020
    “…In feature extraction, the Lexicon-based Model, Machine learning Model and deep learning Model usually was used. …”
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    Proceedings
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  6. 6
    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
    “…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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  7. 7
    Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman

    Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman by Othman, Eda Azuin

    Published 2014
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  8. 8
    Leaf condition analysis using convolutional neural network and vision transformer

    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…Through the use of a hybrid deep learning model that combines vision transformer and convolutional neural networks for classification, the algorithm can be optimized. …”
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  9. 9
    Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection

    Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection by Eustacius Jude, Anak Joseph Linggong

    Published 2019
    “…Two type of results exhibits in this thesis; FTBS technique and FBTS technique with image segmentation. The results obtained without image segmentations able to detect a smaller tumour. …”
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  10. 10
    Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60

    Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60 by Ngui,, Lin Hui.

    Published 2009
    “…These algorithms are often tested and applied on PC. …”
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    Final Year Project Report / IMRAD
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  11. 11
    Road lane detection using h-maxima and improved hough transform

    Road lane detection using h-maxima and improved hough transform by Kamarul Hawari, Ghazali, Xiao, Rui, Ma, Jie

    Published 2012
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    Conference or Workshop Item
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  12. 12
    Automated sentence boundary detection for spontaneous speech in Malay language / Muhammad Izzad Ramli

    Automated sentence boundary detection for spontaneous speech in Malay language / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

    Published 2013
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  13. 13
    Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction

    Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction by Shahad, Falih Khlaif

    Published 2016
    “…The data of series impedance is also used to investigate power flow in all segments in the distribution system. Therefore, modified Carson's equations have been utilized in this study to calculate series impedance of both overhead lines and underground cables using MATLAB program for getting more accurate results. …”
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  14. 14
    A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood

    A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

    Published 2017
    “…A novel heuristic algorithm named as Headway and Order Scheme (HOS) is introduced to solve the rescheduling model. …”
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  15. 15
    Vision-Based Autonomous Vehicle Driving Control System

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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  16. 16
    Vision-based autonomous vehicle driving control system

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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  17. 17
    Ump Intelligent Chatbot Using Dialogflow

    Ump Intelligent Chatbot Using Dialogflow by Joachim, Agostain

    Published 2022
    “…Utilizing the Natural Language keyword phrases model can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. …”
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    Undergraduates Project Papers
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  18. 18
    Heartbeat disease diagnosis using text-based approaches

    Heartbeat disease diagnosis using text-based approaches by Khorasani, Ehsan Safar

    Published 2011
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  19. 19
    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System

    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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  20. 20
    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad

    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…Overall, deep learning using the Tensorflow.Keras (tf.keras) application programming interface (API) makes the development of the DCNN model easier. …”
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