AI in chemical engineering : (Record no. 12941)

000 -LEADER
fixed length control field 04730cam a2200493 i 4500
001 - CONTROL NUMBER
control field 23704533
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260310135607.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field t|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240523s2025 flua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2024023523
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032597003
Qualifying information hardback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032597034
Qualifying information paperback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781003455905
Qualifying information ebook
035 ## - SYSTEM CONTROL NUMBER
System control number 23704533
035 ## - SYSTEM CONTROL NUMBER
System control number (DLC)23704533
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency DLC
-- DLC-MRC
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TP184 .R66 2025
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 660.0285/63
Edition number 23/eng/20241009
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Romagnoli, José A.
Fuller form of name (José Alberto)
Relator term author
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
Authority record control number or standard number http://id.loc.gov/authorities/names/no99088029
Real World Object URI http://id.loc.gov/rwo/agents/no99088029
245 10 - TITLE STATEMENT
Title AI in chemical engineering :
Remainder of title unlocking the power within data /
Statement of responsibility, etc. by José A. Romagnoli, Luis Briceno-Meña, and Vidhyadhar Manee.
246 3# - VARYING FORM OF TITLE
Title proper/short title Artificial intelligence in chemical engineering
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2025.
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 285 pages
Other physical details Illustrations (some color)
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
Authority record control number or standard number http://id.loc.gov/vocabulary/contentTypes/txt
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
Authority record control number or standard number http://id.loc.gov/vocabulary/mediaTypes/n
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
Authority record control number or standard number http://id.loc.gov/vocabulary/carriers/nc
340 ## - PHYSICAL MEDIUM
Authority record control number or standard number http://id.loc.gov/vocabulary/millus/ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 2# - FORMATTED CONTENTS NOTE
Formatted contents note Smart manufacturing & machine learning -- Data and data pretreatment.
520 ## - SUMMARY, ETC.
Summary, etc. "Chemical manufacturing is being transformed by Industry 4.0. Today's chemical companies are quickly adapting to the digital world, recognizing the power of connection among products, production equipment, and personnel. As technology evolves and manufactured volumes increase, new computational tools and innovative solutions for daily problems are required. AI in Chemical Engineering: Unlocking the Power Within Data familiarizes readers with the key concepts of machine learning and their implementation in the chemical and process industries for increased efficiency, adaptability, and profitability. It explores the evolution of traditional plant operation into an integrated and smart operational environment and provides readers with the basis for developing and understanding the use of tools to collect and analyze data for insight and application. Introduces the principles and applications of unsupervised learning and discusses the role of machine learning in extracting information from plant data and transforming it into knowledge. Conveys the concepts, principles, and applications of supervised learning, setting the stage for developing advanced monitoring systems, complex predictive models, and advanced computer vision applications. Explores implementation of reinforced learning ideas for chemical process control and optimization, investigating various model structures and discussing their practical implementation in both simulation and experimental units. Incorporates sample code examples in Python to illustrate key concepts. Includes real-life case studies in the context of Chemical Engineering and covers a wide variety of Chemical Engineering applications from oil and gas to bioengineering and electrochemistry. Clearly defines types of problems in Chemical Engineering subject to AI solutions and relates them to subfields of AI. With concepts and theory introduced in a logical and sequential manner, this practical text is aimed at advanced students of chemical engineering and industrial practitioners and serves as an essential resource to help readers understand current and new developments in this important and evolving field"-- Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Chemical engineering
General subdivision Data processing
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh2009118792
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Engineering applications
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh2009007735
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Chemical processes
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Industrial applications
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Briceno-Mena, Luis
Relator term author
Relationship http://id.loc.gov/vocabulary/relators/aut
Real World Object URI http://id.loc.gov/rwo/agents/n2024028773
758 ## - RESOURCE IDENTIFIER
Real World Object URI http://id.loc.gov/resources/instances/23704533
758 ## - RESOURCE IDENTIFIER
Relationship http://id.loc.gov/ontologies/bibframe/instanceOf
Real World Object URI http://id.loc.gov/resources/works/23704533
884 ## - DESCRIPTION CONVERSION INFORMATION
Conversion process DLC bibframe2marc v2.10-dev
Conversion date 20250509
Conversion agency DLC
Uniform Resource Identifier https://github.com/lcnetdev/bibframe2marc/releases/tag/v2.10-dev
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          Main Library Female Library 03/10/2026   TP184 .R66 2025 51952000222828 03/10/2026 03/10/2026 Books
          Main Library Main Library 03/10/2026   TP184 .R66 2025 51952000222835 03/10/2026 03/10/2026 Books