Toplam kayıt 3, listelenen: 1-3

    • Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT 

      Nourani, Vahid; Molajou, Amir; Najafi, Hessam; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
      Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
    • Estimating currents from action potentials using single and multi-output neural network models 

      Süleymanoğlu, Selim; Şengül Ayan, Sevgi; Özdoğan, Hasan (Second International Congress on Biological and Health Sciences, 2022)
      Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma membranes. Ion channels are responsible for converting signals into biological responses. They are primarily engaged in ...
    • Massive MIMO channel prediction using recurrent neural networks 

      Lemayian, Joel Poncha; Hamamreh, Jehad M. (RS Open Journal on Innovative Communication Technologies, 2020)
      Massive MIMO has been classified as one of the high potential wireless communication technologies due to its unique abilities such as high user capacity, increased spectral density, and diversity among others. Due to the ...