Applications of Artificial Intelligence in Process Systems Engineering, Jingzheng Ren Weifeng Shen Yi Man Lichun Dong
Автор: Cherry Bhargava Название: AI Techniques for Reliability Prediction for Electronic Components ISBN: 1799814653 ISBN-13(EAN): 9781799814658 Издательство: Mare Nostrum (Eurospan) Цена: 166320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.
Автор: Cherry Bhargava Название: AI Techniques for Reliability Prediction for Electronic Components ISBN: 1799814645 ISBN-13(EAN): 9781799814641 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 201430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry.
AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.
Название: Artificial Intelligence in Drug Discovery ISBN: 1788015479 ISBN-13(EAN): 9781788015479 Издательство: Royal Society of Chemistry Рейтинг: Цена: 252030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation.
Автор: Arnab Chakrabarty Название: Multiscale Modeling for Process Safety Applications, ISBN: 0123969751 ISBN-13(EAN): 9780123969750 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Suitable for readers interested in theoretical simulations and or computer simulations of hazardous scenarios, this book explores fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics.
Автор: Xing & Gao Название: Computational Intelligence In Remanufacturing ISBN: 1466649089 ISBN-13(EAN): 9781466649088 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organisations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value.Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.
Автор: F.Carl Knopf Название: Modeling, Analysis and Optimization of Process and Energy Systems ISBN: 0470624213 ISBN-13(EAN): 9780470624210 Издательство: Wiley Рейтинг: Цена: 118220.00 T Наличие на складе: Поставка под заказ. Описание: Energy costs impact the profitability of virtually all industrial processes.
Автор: Gade Pandu Rangaiah Название: Chemical Process Retrofitting and Revamping: Techniques and Applications ISBN: 1119016339 ISBN-13(EAN): 9781119016335 Издательство: Wiley Рейтинг: Цена: 138280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The proposed book will be divided into three parts. The chapters in Part I provide an overview of certain aspect of process retrofitting. The focus of Part II is on computational techniques for solving process retrofit problems. Finally, Part III addresses retrofit applications from diverse process industries.
In this valuable volume, new and original research on various topics on chemical engineering and technology is presented on modeling and simulation, material synthesis, wastewater treatment, analytical techniques, and microreactors. The research presented here can be applied to technology in food, paper and pulp, polymers, petrochemicals, surface coatings, oil technology aspects, among other uses.
The book is divided into five sections:
modeling and simulation
environmental applications
materials and applications
processes and applications
analytical methods
Topics include:
modeling and simulation of chemical processes
process integration and intensification
separation processes
advances in unit operations and processes
chemical reaction engineering
fuel and energy
advanced materials
CFD and transport processes
wastewater treatment
The valuable research presented here will be of interest to researchers, scientists, industry practitioners, as well as upper-level students.
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