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  1. 1
    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems

    Industrial implementation of machine learning forecasting algorithms for large-scale Solar Heat for Industrial Process (SHIP) Systems by Manu, Abdurrahman, Haja Mohideen, Ahmad Jazlan, Akhter, Muhammad Naveed, Ahmad Huzri, Muhammad Danial, Mohd Ibrahim, Azhar, Mohd Zaki, Hasan Firdaus, Sreeram, Victor

    Published 2025
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  2. 2
    Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers

    Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers by Kumar, Sunil, Ratnoo, Saroj, Vashishtha, Jyoti

    Published 2021
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  3. 3
    Assessment and enhancement of Landsat 8 land surface temperature retrieval using Mono Window Algorithm and machine learning approaches

    Assessment and enhancement of Landsat 8 land surface temperature retrieval using Mono Window Algorithm and machine learning approaches by Jamaludin, Noorfarhah Jasmin, Abdullah, Ahmad Fikri, Muhadi, Nur Atirah, Wayayok, Aimrun

    Published 2025
    “…These findings demonstrate the potential of combining MWA with machine learning for reliable LST estimation and highlight its applicability in environmental and urban climate analysis research.…”
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  4. 4
    Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions

    Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions by Altwallbah, Neda Mahmod Mohammad.

    Published 2022
    “…Among all proposed algorithms, perturb and observe (P&O) algorithm is the most popular due to its simplicity and good convergence. …”
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  5. 5
    Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones

    Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

    Published 2020
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  6. 6
    Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan Abdul Manan

    Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A... by Hamsani, Aqil Khairy, Mohd Bahrin, Ummu Fatihah, Wan Abdul Manan, Wan Dorishah

    Published 2023
    “…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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  7. 7
    Data Classification and Its Application in Credit Card Approval

    Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

    Published 2004
    “…The result of this application using the sample credit card approval dataset includes a decision tree, a set of rules derived from the decision tree and its accuracy. …”
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  8. 8
    Improved tree routing protocol in zigbee networks

    Improved tree routing protocol in zigbee networks by Al-Harbawi, Mostafa Kamil Abdulhusain

    Published 2010
    “…ImpTR protocol uses an approach to select next hope depending on new algorithm and uses the same tree topology construction for distributing address to all sensor nodes in the network. …”
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  9. 9
    Photovoltaic-based single-ended primary-inductor converter with dual-fuzzy logic control-based maximum power point tracking

    Photovoltaic-based single-ended primary-inductor converter with dual-fuzzy logic control-based maximum power point tracking by Ramalu, Tanaselan

    Published 2016
    “…Due to its maintenance free, ease of implementation and free of pollution, its demand increases rapidly in residential and industrial applications. …”
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  10. 10
    Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

    Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm by Ibrahim, Olanrewaju Alade, Abd Rahman, Mohd Amiruddin, A. Saleh, Tawfik

    Published 2019
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  11. 11
    Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system

    Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system by Tiong, Meng Chung

    Published 2021
    “…The application of PV power generation has gained its popularity with its easy implementation and inexhaustible energy resources. …”
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  12. 12
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
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  13. 13
    PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm

    PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm by Muhamad Zahim, Sujod, Siti Nor Azlina, Mohd Ghazali, Mohd Fadzil, Abdul Kadir, Al-Shetwi, Ali Qasem

    Published 2024
    “…Machine learning (ML) has emerged as the preferred approach, attracting extensive research attention. As the adoption of solar PV systems continues to surge, the need for robust fault diagnosis and classification techniques becomes paramount to ensure optimal performance, maintenance and scalability across diverse scales of PV arrays in real-world applications. …”
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  14. 14
    Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm

    Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm by Omar, Mahmood Mohammed Ali

    Published 2019
    “…In the reconstructed coronary artery tree. Its peculiar advantage lies in the 3D reconstruction of the coronary artery tree from X-ray angiographic images without the need for corresponding points between vessels in each view. …”
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  15. 15
    Prime-based method for interactive mining of frequent patterns

    Prime-based method for interactive mining of frequent patterns by Nadimi-Shahraki, Mohammad-Hossein

    Published 2010
    “…Thus far, a few efficient interactive mining algorithms have been proposed. However, their runtime do not fulfill the need of short runtime in real time applications especially where data is sparse and proper frequent patterns are mined with very low values of minsup. …”
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  16. 16
    MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC SYSTRM

    MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC SYSTRM by DAT, NGO TIEN

    Published 2011
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  17. 17
    MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC SYSTEM

    MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC SYSTEM by DAT, NGO TIEN

    Published 2011
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  18. 18
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…There exist numerous algorithms to address the need of text categorization including Naive Bayes, k-nearest-neighbor classifier, and decision trees. …”
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  19. 19
    Support Vector Machines (SVM) in Test Extraction

    Support Vector Machines (SVM) in Test Extraction by Ghazali, Nadirah

    Published 2006
    “…There exist numerous algorithms to address the need of text categorization including Naive Bayes, k-nearest-neighbor classifier, and decision trees. …”
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  20. 20
    The performance effect due to varying network topologies on a software-defined network employing the k-shortest path

    The performance effect due to varying network topologies on a software-defined network employing the k-shortest path by Linsheng, R., Derahman, M. N., Kadir, M. F. A., Mohamed, M. A., Kamarudin, S.

    Published 2022
    “…However, constraints such as the need to bypass the node which has a high rate of failure exist to prevent the Dijkstra algorithm from meeting this demand. …”
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