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  1. 1
    Automated dual-axis solar tracking system based on astronomical equation and global positioning system

    Automated dual-axis solar tracking system based on astronomical equation and global positioning system by Mohd Sidek, Mohd Hasimi

    Published 2015
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  2. 2
    A real-time integrated fire detection and alarm (FDA) system for network based building automation

    A real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

    Published 2017
    “…The framework shares information through the algorithm and communicates with each fire alarm panels connected in peer to peer configuration to declare the network state in every second using network address. …”
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  3. 3
    Network-based real-time integrated Fire Detection and Alarm (FDA) system with building automation

    Network-based real-time integrated Fire Detection and Alarm (FDA) system with building automation by Anwar, Farhat, Boby, Rounaqul Islam, Rashid, Muhammad Mahbubur, Alam, Md. Monjurul, Shaikh, Z.

    Published 2017
    “…This work proposes an improved framework for FDA system to ensure a robust intelligent network of FDA control panels in real-time. A shortest path algorithmic was chosen for series of buildings connected by fiber optic network. …”
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    Proceeding Paper
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  4. 4
    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease

    An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease by Haruna, A.A., Muhammad, L.J., Yahaya, B.Z., Garba, E.J., Oye, N.D., Jung, L.T.

    Published 2019
    “…This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. A performance evaluation of the improved algorithm was carried out against the traditional C4.5 Algorithm. …”
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  5. 5
    Implementation of hashed cryptography algorithm based on cryptography message syntax

    Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

    Published 2019
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  6. 6
    Prediction of COVID-19 patient using supervised machine learning algorithm

    Prediction of COVID-19 patient using supervised machine learning algorithm by M., Buvana, K., Muthumayil

    Published 2021
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  7. 7
    Advanced solar tracking system with temperature control and real-time monitoring

    Advanced solar tracking system with temperature control and real-time monitoring by Mahmuddin, Shohibul Syahmi, Nordin, Siti Aminah, Azli, Shakira Azeehan, Mohamad, Nurul Nadia

    Published 2025
    “…Leveraging the Wokwi simulation platform, the Arduino microcontroller processes sensor inputs and executes intelligent decision-making algorithms. These algorithms dynamically control the servo motor, relay module, and LCD display, adapting the system based on environmental conditions. …”
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  8. 8
    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems

    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

    Published 2025
    “…According to the provided tables, the proposed methods (KNN and ADMS) outperform the other algorithms (ID3, Decision Tree, and Logistic Regression) across a range of customer review counts in terms of accuracy (98.95%), precision (94.62%), recall (99.24%), and F1-score (96.87%) while processing customer reviews more quickly (0.063). …”
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  9. 9
    Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques

    Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

    Published 2021
    “…In the next step, noise and roof errors were removed using KNN filter and a new network was created and re-evaluated based on the shortest distance in the LiDAR point cloud to create an integrated DTM. …”
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  10. 10
    Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam

    Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam by Muhammad Aizat , Zainal Alam

    Published 2023
    “…This study uses 3,067 responses which are then be coupled with a machine learning methodology (ranging from Naïve Bayesian, Generalised Linear Model, Logistic Regression, Artificial Neural Network, Decision Tree, Random Forest, and Gradient Boosted Trees) via RapidMiner Studio to expand the understanding of how categories of wealth and expenditures can affect retirement behaviour, given the increasingly important role of machine learning algorithms within the context of behavioural economics where it has been demonstrated to describe patterns and relationships in behavioural data better than standard statistical analysis. …”
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  11. 11
    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model

    State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

    Published 2023
    “…To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”
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  12. 12
    Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes—Open source development

    Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes—Open source development by Poh, A.H., Moghavvemi, Mahmoud, Leong, C.S., Lau, Yee Ling, Ghandari, A.S., Apau, A., Adikan, Faisal Rafiq Mahamd

    Published 2017
    “…Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. …”
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