Picture 1 of 1

Industrial Internet of Things: Technologies, Design, and Applications by Gyanendra Prasad Joshi, Usman Tariq, Sudan Jha, Vijender Kumar Solanki (Hardcover, 2022)

BOOKS etc. (517159)

99.5% positive Feedback

Price:

£117.17

Free postage

Estimated delivery Fri, 2 May - Sat, 10 May

Returns:

60 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.

Condition:

New

ISBN-13: 9780367607777, 978-0367607777. Industrial Internet of Things. Format: Hardback. Explores basic and high level concepts. Technologies, Design, and Applications.

About this product

Product Information

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Provides downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.