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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    Development of auto-tracking mobile robot

    Development of auto-tracking mobile robot by Ahmad Shahrizan, Abdul Ghani, Suresh, Sundarajoo

    Published 2018
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  3. 3
    Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli

    Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli by Ramli, Amar Aslam

    Published 2018
    “…Moreover, the algorithm used for rule-based expert system is forward chaining method. …”
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  4. 4
    A Mobile Application For Stock Price Prediction

    A Mobile Application For Stock Price Prediction by Choy, Yi Tou

    Published 2021
    “…A mobile application for stock price prediction using time series algorithms is developed to tackle the problem mentioned. …”
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  5. 5
    Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter

    Time-variant online auto-tuned pi controller using pso algorithm for high accuracy dual active bridge dc-dc converter by Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Nur Huda, Ramlan, Norhafidzah, Mohd Saad

    Published 2022
    “…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
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  6. 6
    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
    “…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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  7. 7
    Review on auto-depth control system for an unmanned underwater remotely operated vehicle (ROV) using intelligent controller

    Review on auto-depth control system for an unmanned underwater remotely operated vehicle (ROV) using intelligent controller by Mohd Shahrieel , Mohd Aras, Shahrum Shah , Abdullah, Fadilah , Abdul Azis

    Published 2015
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  8. 8
    Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter

    Time-Variant online Auto-Tuned PI controller using PSO algorithm for high accuracy dual active bridge DC-DC converter by Suliana, Ab Ghani, Hamdan, Daniyal, Norazila, Jaalam, Nur Huda, Ramlan, Norhafidzah, Mohd Saad

    Published 2022
    “…This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. …”
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  9. 9
    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
    “…The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. …”
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  10. 10
    Development of Image Recognition for Underwater Vehicle Applications

    Development of Image Recognition for Underwater Vehicle Applications by Syed Abdul Hamid , Syed Mohamad Shazali, Mohd Aras, Mohd Shahrieel, Ali, Fara Ashikin, Anuar , Mohamed Kassim, Abdul Azis, Fadilah

    Published 2011
    “…It is also expected to recognize biological underwater object to support on deck auto monitoring system. The developed algorithm will be used to recognize relevant underwater object or living thing. …”
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  11. 11
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  12. 12
    Auto raise hand in Microsoft teams (API/Extension)

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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  13. 13
    Recognition of Machined Features from Solid Database of Prismatic Components

    Recognition of Machined Features from Solid Database of Prismatic Components by Ismail, Napsiah, Abu Bakar, Nooh

    Published 1997
    “…Boundary r~presentation of solid modelling is used to model a prismatic component. The system is developed entirely in the AutoCAD environment, and the AutoLISP language was used to build the recognition system as it has direct access to the database. …”
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  14. 14
    Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data

    Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data by Md Din M., Rahim F.A., Md. Anwar R., Abu Bakar A., Latif A.A.

    Published 2023
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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
    “…Several features were extracted from them through wavelet scattering transform (WST). 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
    Development of an adaptive business insolvency classifier prototype (AVICENA) using hybrid intelligent algorithms

    Development of an adaptive business insolvency classifier prototype (AVICENA) using hybrid intelligent algorithms by Ab. Aziz, Azizi, Siraj, Fadzilah, Zakaria, Azizi

    Published 2002
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  17. 17
    White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman

    White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman by Sulaiman, Mohd Suhaimi

    Published 2019
    “…In general, there were four objectives involves in this research which are using available measurement technique to obtain information on latex properties, statistical analysis as a way of showing that the information obtained are normally distributed and can be discriminated, artificial intelligent as for generating classification models and lastly using GUI for the development of the Auto-Detection System. …”
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  18. 18
    Intelligent auto tracking in 3D space by image processing

    Intelligent auto tracking in 3D space by image processing by Al-Khateeb, Khalid A. Saeed, Awang, Mat Kamil, Khalifa, Othman Omran

    Published 2009
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  19. 19
    Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset

    Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

    Published 2020
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  20. 20
    Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

    Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China by Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.

    Published 2024
    “…Therefore, this study investigates the capability of various machine learning algorithms in predicting the power production of a reservoir located in China using data from 1979 to 2016. …”
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