Listar 2020 por tema 

Listar2020 por tema "artificial neural networks"

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    • An Intelligent Technique for Grape Fanleaf Virus Detection 

      Mohammadpoor, Mojtaba; Nooghabi, Mohadese Gerami; Ahmedi, Zahra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...

    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...

    • Soft Computing Modelling of Urban Evolution: Tehran Metropolis 

      Borhani, Mostafa; Ghasemloo, Nima (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Exploring computational intelligence, geographic information systems and statistical information, a creative and innovative model for urban evolution is presented in this paper. The proposed model employs fuzzy logic and ...

    • Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks 

      Heydarpour, F.; Abbasi, E.; Ebadi, M. J.; Karbassi, S. M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Cancer is an uncontrollable growth of abnormal cells in any tissue of the body. Many researchers have focused on machine learning and artificial intelligence (AI) based on approaches for cancer treatment. Dissimilar to ...