VLSI and Hardware implementations using Modern Machine Learning Methods (Record no. 565866)

MARC details
000 -LEADER
fixed length control field 00968nam a22002177a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241119b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781032061719
Paper back/Hardbound hbk
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.395
Item number SAN
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Sandeep Saini
245 ## - TITLE STATEMENT
Title VLSI and Hardware implementations using Modern Machine Learning Methods
Statement of responsibility, etc /edited by Sandeep Saini ,Kusum Lata, and G.R. Sinha
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton, FL
Name of publisher CRC Press
Year of publication 2022
300 ## - PHYSICAL DESCRIPTION
Number of Pages xv, 312 p.
Other physical details ill.
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes index
520 ## - SUMMARY, ETC.
Summary, etc This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term VLSI
Topical Term Machine Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kusum Lata
Personal name Sinha, G R
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Full call number Accession Number Price effective from Koha item type
        Anna Centenary Library Anna Centenary Library 6TH FLOOR, A WING 24.08.2024 4978.00 621.395 SAN 698234 24.08.2024 Reference

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