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    Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications 

    Ranasinghe, N.; Ramanan, A.; Fernando, S.; Hameed, P. N.; Herath, D.; Malepathirana, T.; Suganthan, P.; Niranjan, M.; Halgamuge, S.... more authors ... less authors ( National Science Foundation , 2022 , Article Review)
    Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ...

    Ensemble reinforcement learning: A survey 

    Song, Yanjie; Suganthan, Ponnuthurai Nagaratnam; Pedrycz, Witold; Ou, Junwei; He, Yongming; Chen, Yingwu; Wu, Yutong... more authors ... less authors ( Elsevier , 2023 , Article Review)
    Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a ...

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    Author
      Chen, Yingwu (1) Fernando, S. (1) Halgamuge, S. (1) Hameed, P. N. (1) ... View More
    Type
    • Article Review (2)
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      Artificial neural network (1) Disease detection in agriculture (1) drug repositioning (1) Ensemble learning (1) ... View More
    Publication Date
      2022 (1) 2023 (1)
    Accessioned Date
      2023 (1) 2025 (1)
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      Yes (2)

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

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