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  1. 1
    Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review

    Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review by Hassan, Ismail Bile, Hashi, Abdurezak Abdulahi

    Published 2021
    “…Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. …”
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  2. 2
    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children

    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children by Yeoh, Sing Hsia

    Published 2011
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  3. 3
    A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia

    A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia by Nagimeldin, Olla, Ahmad Tajuddin, Husna, Jami, Mohammed Saedi

    Published 2022
    “…Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability to optimize and automate critical solid waste and waste management complications. …”
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  4. 4
    Artificial intelligence (AI) and its application in architecture design: a thematic review

    Artificial intelligence (AI) and its application in architecture design: a thematic review by Jin, Deran, Zairul, Mohd, Salih, Sarah Abdulkareem

    Published 2025
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  5. 5
    Digital Transformation Using Industry 4.0 and Artificial Intelligence

    Digital Transformation Using Industry 4.0 and Artificial Intelligence by Keerthika M., Pragadeesh M., Santhiya M., Jebamalar G.B., Venu H.

    Published 2025
    “…Explainable artificial intelligence (XAI) conducts studies and creates tools, techniques, and algorithm designs that produce information and judgments made by AI-based systems that are comprehensible to humans. …”
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  6. 6
    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations

    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations by Ibrahim, Nur Shahidatul Nabila, Suppiah, Subapriya, Ibrahim, Buhari, Mohad Azmi, Nur Hafizah, Seriramulu, Vengkatha Priya, Mohamad, Mazlyfarina, Hanafi, Marsyita, Mohammad Sallehuddin, Hakimah, Omar Sharif, Nurallysha Najwa, Razali, Rizah Mazzuin, Harrun, Noor Harzana

    Published 2025
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  7. 7
    Investigating the reliability of machine learning algorithms as an advanced tool for ozone concentration prediction

    Investigating the reliability of machine learning algorithms as an advanced tool for ozone concentration prediction by Ayman Mohammed Shaher Yafouz, Mr.

    Published 2023
    “…Thus, it is highly required to examine the performance of various artificial intelligence techniques including standalone and hybrid algorithms for accurate ozone concentration prediction at the tropospheric layer. …”
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  8. 8
    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey

    Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey by Ukasyah Mahamod, Ibraheem Shayea, Hafizal Mohamad, Marinah Othman, Fauzun Abdullah Asuhaimi

    Published 2024
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  9. 9
    The potential of machine learning in computer aided geometric design / Siti Sarah Raseli and Assoc. Prof. Dr Ahmad Lutfi Amri Ramli

    The potential of machine learning in computer aided geometric design / Siti Sarah Raseli and Assoc. Prof. Dr Ahmad Lutfi Amri Ramli by Raseli, Siti Sarah, Ramli, Ahmad Lutfi Amri

    Published 2023
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  10. 10
    Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning

    Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning by Taotao, Xu, Musdi, Shanat, Brendan Chan, Kah Le, Wei, Zhang

    Published 2023
    “…Based on the design of modeling elements of Luoshan shadow puppets, this paper analyzes the characteristics of visual elements of shadow puppet creative goods, puts forward an intelligent design algorithm of shadow puppet creative goods based on DL, and explores the computer-aided shadow puppets modeling design strategy driven by artificial intelligence. …”
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  11. 11
    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms

    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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  12. 12
    Artificial intelligence in diagnosing tuberculosis: a review

    Artificial intelligence in diagnosing tuberculosis: a review by Meraj, Syeda Shaizadi, Yaakob, Razali, Azman, Azreen, Mohd Rum, Siti Nurulain, Ahmad Nazri, Azree Shahrel

    Published 2019
    “…In the past fifty years, due to the advanced and sophisticated technologies, in medical as well as computer science fields, have paved a way to utilize the essence of both the areas. In Artificial Intelligence (AI) various Machine Learning (ML) algorithms have furthered the interests in Computer-aided Detection (CADe) and Diagnosis (CADx) methods. …”
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  13. 13
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, Audah, Lukman, SOON KIM, KWANG, ALJALOUD, KHALED A., TALIB, HAIRUL NIZAM

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  14. 14
    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G

    Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G by Ngah, Razali, Salh, Adeeb, Audah, Lukman, Abdullah, Qazwan, Kim, Kwang Soon, Al-Moliki, Yahya Mohammed Hameed, AlJaloud, Khaled A., Talib, Md Hairul Nizam

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  15. 15
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by SALH, ADEB, NGAH, RAZALI, AUDAH, LUKMAN, KWANG SOON KIM, KWANG SOON KIM, ABDULLAH, QAZWAN, M. AL-MOLIKI, YAHYA, A. ALJALOUD, KHALED, TALIB, HAIRUL NIZAM

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  16. 16
    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration

    A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration by Jaafar, Hazriq Izzuan

    Published 2013
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  17. 17
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  18. 18
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIK, YAHYA M. AL-MOLIK, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  19. 19
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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  20. 20
    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G

    Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G by ADEB SALH, ADEB SALH, RAZALI NGAH, RAZALI NGAH, LUKMAN AUDAH, LUKMAN AUDAH, KWANG SOON KIM, KWANG SOON KIM, QAZWAN ABDULLAH, QAZWAN ABDULLAH, YAHYA M. AL-MOLIKI, YAHYA M. AL-MOLIKI, KHALED A. ALJALOUD, KHALED A. ALJALOUD, HAIRUL NIZAM TALIB, HAIRUL NIZAM TALIB

    Published 2023
    “…An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. …”
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