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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  2. 2
    An efficient and accurate numerical simulation method for the paint curing process in auto industries

    An efficient and accurate numerical simulation method for the paint curing process in auto industries by Ashrafizadeh, A., Mehdipour, R., Rezvani, M.

    Published 2009
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  3. 3
    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II

    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II by Roslan, Umar, Nur Zulaikha, Mohd Afandi, Zamri, Zainal Abidin

    Published 2016
    “…In order to assist the solar radio researcher to speed up the process of solar burst identification and detection, this work presents a new algorithm to auto classify solar radio burst Type II and III. …”
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  4. 4
    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II

    Implementation of Frequency Drift for Identification of Solar Radio Burst Type II by Afandi, N.Z.M., Abidin, Z.Z., Umar, R., Sabri, N.H., Ibrahim, Z.A., Monstein, C.

    Published 2016
    “…In order to assist the solar radio researcher to speed up the process of solar burst identification and detection, this work presents a new algorithm to auto classify solar radio burst Type II and III. …”
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  5. 5
    Text Summarization System with Bayesian Theorem on Oil & Gas Drilling Topic

    Text Summarization System with Bayesian Theorem on Oil & Gas Drilling Topic by Kurniawan, Iwan

    Published 2007
    “…In this project, Bayes theorem algorithm is studied and experimented by the implementation of a textual summarizer. …”
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    Final Year Project
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  6. 6
    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah

    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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    Thesis
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  7. 7
    Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima)

    Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima) by ALI, NURUL FATIHAH AZWANI

    Published 2019
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    Final Year Project
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  8. 8
    An enhanced gated recurrent unit with auto-encoder for solving text classification problems

    An enhanced gated recurrent unit with auto-encoder for solving text classification problems by Zulqarnain, Muhammad

    Published 2020
    “…Gated Recurrent Unit (GRU) is a type of Recurrent Neural Networks (RNNs), and a deep learning algorithm that contains update gate and reset gate. …”
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    Thesis
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  9. 9
    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
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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  10. 10
    A new method of correcting uneven illumination problem in fundus images

    A new method of correcting uneven illumination problem in fundus images by Aibinu, Abiodun Musa, Iqbal, Muhammad Imran, Nilsson, Mikael, Salami, Momoh Jimoh Emiyoka

    Published 2007
    “…Recent advancements in signal and image processing have reduced the time of diagnoses, effort and pressure on the screeners by providing auto diagnostic tools for different diseases. …”
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    Proceeding Paper
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  11. 11
    Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC) manufacturing

    Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC)... by Mohd Fazil, Azlan Faizal, Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini

    Published 2019
    “…The multi die packaging requires more processing steps and tools in assembly process as well. …”
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