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  1. 1
    Application of artificial neural network for automatic contingency analysis in power security assessment / Ismail Musirin and Titik Khawa Abdul Rahman

    Application of artificial neural network for automatic contingency analysis in power security assessment / Ismail Musirin and Titik Khawa Abdul Rahman by Musirin, Ismail, Abdul Rahman, Titik Khawa

    Published 2006
    “…Data were generated using the newly developed automatic contingency analysis and ranking (ACAR) algorithm. …”
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  2. 2
    Development of lung cancer prediction system using meta-heuristic optimized deep learning model

    Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

    Published 2023
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  3. 3
    The automatic focus segmentation of multi-focus image fusion

    The automatic focus segmentation of multi-focus image fusion by Kamarul Hawari, Ghazali, Ismail, .

    Published 2022
    “…The proposed method is multi-focus image fusion based on an automatic encoder-decoder algorithm. It uses deeplabV3+ architecture. …”
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  4. 4
    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.

    Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops. by Mohd Akhir, Norhasiah

    Published 2004
    “…By collecting all the dataneeded such as speed and location, an algorithm can be developed to predict when the transport will reach a certain checkpoint. …”
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  5. 5
    Automatic control of flotation process using computer vision

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
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  6. 6
    Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman

    Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman by Ab Rahman, Lily Syahira Sabrina

    Published 2017
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  7. 7
    Implementation of generalized predictive control (GPC) for a real-time process control using labview

    Implementation of generalized predictive control (GPC) for a real-time process control using labview by Mohd. Faudzi, Ahmad 'Athif

    Published 2006
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  8. 8
    Implementing Aproiri Algorithm for Predicting Result Analysis

    Implementing Aproiri Algorithm for Predicting Result Analysis by Abdul Aziz, Azwa, Hassan, Hasni, Wan Idris, Wan Mohd Rizhan, Jusoh, Julaily Aida

    Published 2013
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  9. 9
    Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa

    Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa by Mawada Mohamed , Nour El Daim El Khalifa

    Published 2020
    “…Secondly, this research achieved the development of deep learning with a word embedding (DLWE) prediction model that extract features automatically through the layers in the model to classify and improve the prediction accuracy of sentiment analysis of the airline services. …”
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  10. 10
    A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method

    A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method by Mohd Yazed, Muhammad Syukri

    Published 2019
    “…Therefore, this research has developed a prototype named TempIoT1.0 which is a BBT device that's equipped with a smart fertility prediction using fuzzy logic intelligence computational method that can predict ovulation and pregnancy. …”
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  11. 11
    Implementing Aproiri Algorithm for Predicting Result Analysis

    Implementing Aproiri Algorithm for Predicting Result Analysis by Nurul A., Emran, Aziz, A. A., Jusoh, J. A, Idris, W. M. R. W., Hassan, H.

    Published 2013
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  12. 12
    Analysing the performance of classification algorithms on diseases datasets

    Analysing the performance of classification algorithms on diseases datasets by Lydia E.L., Sharmil N., Shankar K., Maseleno A.

    Published 2023
    “…This has become a crucial task in the medical field for immediate disease diagnosis. To advance such automatic healthcare prediction system, modern Artificial Intelligent technology has been developed an easy way to identify the existence of the diseases. …”
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  13. 13
    An automated cervical pre-cancerous diagnostic system

    An automated cervical pre-cancerous diagnostic system by Nor Ashidi, Mat-Isa, Mohd Yusoff Mashor, Nor Hayati, Othman

    Published 2009
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  14. 14
    Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management

    Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management by Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani, Ahmad Khairi Abdul Wahab, Khin Wee Lai, Suresh Chandra Satapathy, Azira Khalil, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan

    Published 2024
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  15. 15
    Earthquake prediction model based on geomagnetic field data using automated machine learning

    Earthquake prediction model based on geomagnetic field data using automated machine learning by Yusof, Khairul Adib, Mashohor, Syamsiah, Abdullah, Mardina, Amiruddin, Mohd, Rahman, Abd, Abdul Hamid, Nurul Shazana, Qaedi, Kasyful, Matori, Khamirul Amin, Hayakawa, Masashi

    Published 2024
    “…The features were used as the input to model optimization, of which the strategy for automatic algorithm selection and hyperparameter tuning was performed based on the asynchronous successive halving algorithm (ASHA). …”
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  16. 16
    Automatic Grading System Of Incoming Raw Unclean Edible Bird Nest Using Deep Learning Model

    Automatic Grading System Of Incoming Raw Unclean Edible Bird Nest Using Deep Learning Model by Khor, Khye Jim

    Published 2021
    “…The methods provide a better understanding to humans in the model's prediction for increasing the trustability of the model in the automatic EBN grading system.…”
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  17. 17
    Automatic spike detection and correction for outdoor machine vision: application to tomato

    Automatic spike detection and correction for outdoor machine vision: application to tomato by Sahragard, Nasrolah, Ramli, Abdul Rahman, Marhaban, Mohammad Hamiruce, Mansor, Shattri

    Published 2011
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  18. 18
    Development of approximate prediction model for 3-DOF helicopter and benchmarking with existing controllers

    Development of approximate prediction model for 3-DOF helicopter and benchmarking with existing controllers by Anwar, Farhat, Islam, Rounakul, Mansor, Hasmah, Hussain, Sabahat, Sharmin, Afsah

    Published 2017
    “…This research paper shows the development of an approximate prediction model of a Three Degrees of Freedom helicopter model and uses the proposed approximate model to observe the performance of an existent hybrid controller. …”
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  19. 19
    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration

    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

    Published 2014
    “…This new algorithm was developed to overcome the subjectivity of the manual categorization of scale data of landslide conditioning factors, and to predict rainfall-induced susceptibility map in Kuala Lumpur city and surrounding areas using geographic information system (GIS). …”
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    Conference or Workshop Item
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  20. 20
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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