Artificial Neural Networks in Dermatology
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21438-7_78
Reference17 articles.
1. Eskov, V.M.: Methods for identifying two types of uncertainty in biocybernetics. AIP Conf. Proc. 2402, 050042 (2021). https://doi.org/10.1063/5.0072488
2. Eskov, V.M., Filatov, M.A., Grigorenko, V.V., Pavlyk, A.V.: New information technologies in the analysis of electroencephalograms. J. Phys: Conf. Ser. 1679, 032081 (2020). https://doi.org/10.1088/1742-6596/1679/3/032081
3. Eskov, V.V., Filatov, M.A., Galkin, V.A., Filatova, O.E.: New computational methods for investigation of the third type of systems. AIP Conf. Proc. 2402, 050017 (2021). https://doi.org/10.1063/5.0073431
4. Kozlova, V.V., Galkin, V.A., Filatov, M.A.: Diagnostics of brain neural network states from the perspective of chaos. J. Phys: Conf. Ser. 1889(5), 052016 (2021). https://doi.org/10.1088/1742-6596/1889/5/052016
5. Eskov, V.M., Filatova, O.E.: Respiratory rhythm generation in rats: the importance of inhibition. Neurophysiology 25(6), 348–353 (1993)
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