Machine Learning In Chemical Safety And Health
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Machine Learning In Chemical Safety And Health
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Author : Qingsheng Wang
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-06
Machine Learning In Chemical Safety And Health written by Qingsheng Wang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Technology & Engineering categories.
Introduces Machine Learning Techniques and Tools and Provides Guidance on How to Implement Machine Learning Into Chemical Safety and Health-related Model Development 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. Written by an international team of authors and edited by renowned experts in the areas of process safety and occupational and environmental health, sample topics covered within the work include: An introduction to the fundamentals of machine learning, including regression, classification and cross-validation, and an overview of software and tools Detailed reviews of various applications in the areas of chemical safety and health, including flammability prediction, consequence prediction, asset integrity management, predictive nanotoxicity and environmental exposure assessment, and more Perspective on the possible future development of this field 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 In Chemistry
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Author : Jon Paul Janet
language : en
Publisher: American Chemical Society
Release Date : 2020-05-28
Machine Learning In Chemistry written by Jon Paul Janet and has been published by American Chemical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Science categories.
Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important
Machine Learning Safety
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Author : Xiaowei Huang
language : en
Publisher: Springer Nature
Release Date : 2023-04-28
Machine Learning Safety written by Xiaowei Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers’ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.
Artificial Intelligence And Machine Learning In Public Healthcare
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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Artificial Intelligence And Machine Learning In Public Healthcare written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Machine Learning And Knowledge Discovery For Engineering Systems Health Management
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Author : Ashok N. Srivastava
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Machine Learning And Knowledge Discovery For Engineering Systems Health Management written by Ashok N. Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.
Machine Learning In Chemistry
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Author : John Paul Janet
language : en
Publisher:
Release Date : 2020
Machine Learning In Chemistry written by John Paul Janet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Occupational And Environmental Safety And Health Iv
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Author : Pedro M. Arezes
language : en
Publisher: Springer Nature
Release Date : 2022-09-16
Occupational And Environmental Safety And Health Iv written by Pedro M. Arezes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.
This book gathers cutting-edge research and best practices relating to occupational risk and safety management, healthcare and ergonomics. It covers strategies for different industries, such as construction, chemical and healthcare. It emphasises challenges posed by automation, discusses solutions offered by technologies, and reports on case studies carried out in different countries. Chapters are based on selected contributions to the 18th International Symposium on Occupational Safety and Hygiene (SHO 2022), held on September 8–9, 2022, in Porto, Portugal. By reporting on different perspectives, such as the ones from managers, workers and OSH professionals, and covering timely issues, such as implications of telework ,issues related to gender inequality and applications of machine learning techniques in occupational health, this book offers extensive information and a source of inspiration to OSH researchers, practitioners and organizations operating in both local and global contexts.
Machine Learning In Chemistry
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Author : Hugh M. Cartwright
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-07-15
Machine Learning In Chemistry written by Hugh M. Cartwright and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Science categories.
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Machine Learning In Chemistry
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Author : Edward O. Pyzer-Knapp
language : en
Publisher:
Release Date : 2020-10-22
Machine Learning In Chemistry written by Edward O. Pyzer-Knapp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-22 with Science categories.
Atomic-scale representation and statistical learning of tensorial properties -- Prediction of Mohs hardness with machine learning methods using compositional features -- High-dimensional neural network potentials for atomistic simulations -- Data-driven learning systems for chemical reaction prediction: an analysis of recent approaches -- Using machine learning to inform decisions in drug discovery : an industry perspective -- Cognitive materials discovery and onset of the 5th discovery paradigm.
Occupational And Environmental Safety And Health V
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Author : Pedro M. Arezes
language : en
Publisher: Springer Nature
Release Date : 2023-12-05
Occupational And Environmental Safety And Health V written by Pedro M. Arezes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Technology & Engineering categories.
This book gathers cutting-edge research and best practices relating to occupational risk and safety management, healthcare, and ergonomics. It covers strategies for different industries, such as construction, chemical and healthcare. It emphasizes challenges posed by automation, discusses solutions offered by technologies, and reports on case studies carried out in different countries. Chapters are based on selected contributions to the 20th International Symposium on Occupational Safety and Hygiene (SHO 2023), held on July 20-21, 2023, in Portugal, as a hybrid event. By reporting on different perspectives, such as the ones from managers, employees, and OSH professionals, and covering timely issues, such as implications of telework, issues related to gender inequality and applications of machine learning techniques in occupational health, this book offers extensive information and a source of inspiration to OSH researchers, practitioners and organizations operating in both local and global contexts.