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Innovations in Computer Vision and Data Classification (Record no. 62267)

MARC details
000 -LEADER
fixed length control field 04348nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-60140-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112839.0
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 240806s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031601408
-- 978-3-031-60140-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-60140-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5101-5105.9
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJK
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC041000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJK
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ghani, Arfan.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 81970
245 10 - TITLE STATEMENT
Title Innovations in Computer Vision and Data Classification
Medium [electronic resource] :
Remainder of title From Pandemic Data Analysis to Environmental and Health Monitoring /
Statement of responsibility, etc. by Arfan Ghani.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 148 p. 100 illus., 75 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 EAI/Springer Innovations in Communication and Computing,
International Standard Serial Number 2522-8609
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Accelerating the classification of pandemic data using reconfigurable hardware (FPGA) and machine learning -- Computer vision based automated diagnosis for skin cancer detection -- Design and development of an integrated analytics platform for environmental data classification -- Design and development of multimodal healthcare data sensing and classification using Deep Neural Networks (DNNs) -- Low-power analogue design with Spiking Neural Networks (SNN) -- Full custom design of a sustainable, low-power environmental monitoring node -- Real-time performance analysis of Maximum-Power-Point Tracking (MPPT) algorithm for energy conversion on hardware platform (FPGA) -- Computer-vision based real data generation for object classification -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc. This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse domains. The author explores topics such as the role of Field-Programmable Gate Arrays (FPGAs) in expediting pandemic data analysis and the transformative impact of computer vision on healthcare. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms. With the author's guidance, readers are led through practical implementations, ensuring a comprehensive grasp of each subject matter. Whether a seasoned researcher, engineer, or student, this book equips readers with the tools to make data-driven decisions, optimize systems, and innovate solutions across various fields, from healthcare to environmental monitoring. Explores advancements in data classification, encompassing FPGA acceleration, neuromorphic hardware, and computer vision-based diagnosis; Presents data classification through real-world examples from healthcare, environmental science, and energy conversion, employing applied machine learning and deep neural networks; Includes guidance on the application of complex concepts with ease through a didactic approach and hands-on instruction.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64052
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64052
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 9783031601392
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031601415
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031601422
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title EAI/Springer Innovations in Communication and Computing,
International Standard Serial Number 2522-8609
9 (RLIN) 65695
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-60140-8">https://doi.org/10.1007/978-3-031-60140-8</a>
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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