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

• Other Authors: Bianchini, Monica (Editor), Sampoli, Maria Lucia (Editor)
• Format: Electronic Book Chapter
• Language: English
• 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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...