Machine Learning and Deep Learning in Computational Toxicology /

This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques i...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Hong, Huixiao (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Computational Methods in Engineering & the Sciences,
Subjects:	Toxicology. Machine learning. Artificial intelligence. Machine Learning. Artificial Intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book