Industrial IoT Application Architectures and Use Cases (Record no. 10380)

MARC details
000 -LEADER
fixed length control field 02888 a2200421 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250526161928.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250430042020xx 77 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367343088
Qualifying information BB
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 105.00
Form of issue BB
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Original cataloging agency 01
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Language code of text/sound track or separate title eng
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Subject category code 004.678
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name A. Suresh
9 (RLIN) 572
245 10 - TITLE STATEMENT
Title Industrial IoT Application Architectures and Use Cases
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Auerbach Publications
Date of publication, distribution, etc. 20200528
300 ## - PHYSICAL DESCRIPTION
Extent 182 p
520 ## - SUMMARY, ETC.
Expansion of summary note As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: An Intelligent IoT framework for smart water management An IoT-enabled smart traffic control system for congestion control and smart traffic management An intelligent airport system for airport management and security surveillance An IoT framework for healthcare to integrate and report patient information Fuzzy scheduling with IoT for tracking and monitoring hotel assets An IoT system for designing drainage systems and monitoring drainage pipes Predictive maintenance of plant equipment to decide the actual mean time to malfunction Integrated neural networks and IoT systems for predictive equipment maintenance IoT integration in blockchain for smart waste management This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Malarvizhi Nandagopal
Relationship A01
9 (RLIN) 573
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pethuru Raj
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Personal name E. A. Neeba
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9 (RLIN) 574
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jenn-Wei Lin
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9 (RLIN) 575

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