Mathematical Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications

Mathematical modeling is routinely used in physical and engineering sciences to help understand complex systems and optimize industrial processes. Mathematical modeling differs from Artificial Intelligence because it does not exclusively use the collected data to describe an industrial phenomenon or...

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Библиографические подробности
Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Предметы:	algorithm identification Alzheimer predator–prey model herd behaviour herd shape linear functional response Holling type II functional response bifurcation analysis deep learning convolutional neural networks semantic segmentation generative adversarial networks chest X-ray image augmentation tropospheric ozone machine learning El Paso-Juarez semi-arid climate visual sequential search test episode matching trail making test sequence alignment alignment score eye tracking Til Making Test neurological diseases thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Online-ссылка:	ONIX_20220224_9783036528410_32
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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Mathematical Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications

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