Konu "Numerical modeling" için Endüstri Mühendisliği Bölümü / Department of Industrial Engineering listeleme

Toplam kayıt 3, listelenen: 1-3

    • Classification of diabetic cardiomyopathy-related cells using machine learning 

      Dalaman, Uğur; Şengül Ayan, Sevgi; Yaraş, Nazmi (Moscow University Physics Bulletin, 2022)
      The patch-clamp technique is a significant tool in current electrophysiology research, especially in cardiovascular diseases, because it can capture electrical activity of the heart from cardiomyocytes. It is challenging ...

    • 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 ...

    • A pilot study of ion current estimation by ANN from action potential waveforms 

      Şengül Ayan, Sevgi; Süleymanoğlu, Selim; Özdoğan, Hasan (Journal of Biological Physics, 2022)
      Experiments using conventional experimental approaches to capture the dynamics of ion channels are not always feasible, and even when possible and feasible, some can be timeconsuming. In this work, the ionic current–time ...