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

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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Bibliographic Details
Other Authors: Bianchini, Monica (Editor), Sampoli, Maria Lucia (Editor)
Format: Book Chapter
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Research & information: general
Mathematics & science
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
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