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wang q machine learning chemical safety health 2023

Type:: E-books
Files:: 1
Size:: 14.2 MB
Uploaded On:: Nov. 4, 2022, 8:38 a.m.
Added By:: andryold1
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Info Hash:: 386C230BACAC0076CB525F42B72272F8218E7890

Textbook in PDF format There is a growing interest in the application of machine learning algorithms in chemical safety and health-related model development, with applications in areas including property and toxicity prediction, consequence prediction, and fault detection. This book is the first to review the current status of machine learning implementation in chemical safety and health research and to provide guidance for implementing machine learning techniques and algorithms into chemical safety and health research.Machine Learning in Chemical Safety and Health serves as an essential guide on both the fundamentals and applications of machine learning for industry professionals and researchers in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene. Machine Learning Fundamentals Flammability Characteristics Prediction Using QSPR Modeling Consequence Prediction Using Quantitative Property–Consequence Relationship Models Machine Learning in Process Safety and Asset Integrity Management Machine Learning for Process Fault Detection and Diagnosis Intelligent Method for Chemical Emission Source Identification Machine Learning and Deep Learning Applications in Medical Image Analysis Predictive Nanotoxicology: Nanoinformatics Approach to Toxicity Analysis of Nanomaterials Machine Learning in Environmental Exposure Assessment Air Quality Prediction Using Machine Learning Current Challenges and Perspectives

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Wang Q. Machine Learning in Chemical Safety and Health...2023.pdf 14.2 MB

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wang q machine learning chemical safety health 2023

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