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Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications (Record no. 63813)

MARC details
000 -LEADER
fixed length control field 04042nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-981-97-5365-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030113113.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240928s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819753659
-- 978-981-97-5365-9
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-97-5365-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number GE196
072 #7 - SUBJECT CATEGORY CODE
Subject category code RNU
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI026000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code RNU
Source thema
245 10 - TITLE STATEMENT
Title Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications
Medium [electronic resource] /
Statement of responsibility, etc. edited by V. Ajantha Devi.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent VII, 175 p. 81 illus., 73 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Contributions to Environmental Sciences & Innovative Business Technology,
International Standard Serial Number 2731-8311
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Leveraging IoT Based CNN for Streamlining Business Application -- Intelligent Electric Vehicles: Leveraging AI-IoT for Sustainable Mobility -- Internet of Things Enabled Deep Convolutional Neural Network Model for Breast Cancer Classification -- Application of Machine Learning in Cyber Security: A Technological Perceptive -- Statistical Surveillance for Host-based Intrusion Detection System (HIDS): An Intelligent System for Automation -- IoT for Healthcare: A Sustainable Approach -- A NOVEL TRUST BASED FRAMEWORK FOR SECURED VANETs IN FUTURE -- Big Data and IOT based Flood Monitoring using Deep Neural Network -- Role of Artificial Intelligence in Design & Implementation of Healthcare Web Based Application “Carefree Bharat” focusing Sustainable Development.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57661
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58845
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57216
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57661
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58845
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57216
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Devi, V. Ajantha.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 85218
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753642
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753666
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819753673
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Contributions to Environmental Sciences & Innovative Business Technology,
International Standard Serial Number 2731-8311
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-97-5365-9">https://doi.org/10.1007/978-981-97-5365-9</a>
912 ## -
-- ZDB-2-EES
912 ## -
-- ZDB-2-SXEE

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