Tools

LEADER 03520nam 2200541 i 4500

001 ssj0002526057;

003 WaSeSS;

005 20251212090320.0;

006 m d ;

007 cr n ;

008 210825s2022 flu sb 001 0 eng d;

010 a| 2021037484;

020 a| 9781000523843q| (epub);

020 a| 9781003201038q| (ebk);

020 z| 9781032061726q| (pbk);

020 z| 9781032061719q| (hbk);

035 a| (WaSeSS)ssj0002526057;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| TK7874.75;

082 00 a| 006.3/12| 23/eng/20211014;

245 00 a| VLSI and hardware implementations using modern machine learning methodsh| [electronic resource] /c| edited by Sandeep Saini, Kusum Lata and G.R. Sinha.;

250 a| First edition.;

260 a| Boca Raton, FL :b| CRC Press,c| 2022.;

300 a| 1 online resource;

504 a| Includes bibliographical references and index.;

505 0 a| VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha -- Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey -- Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.;

506 a| Available only to authorized users.;

520 a| "Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher.;

650 0 a| Machine learning.=| ^A145211;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Saini, Sandeep.=| ^A1423120;

700 1 a| Lata, Kusumc| (Electronics engineer)?| UNAUTHORIZED;

700 1 a| Sinha, G. R.,d| 1975-?| UNAUTHORIZED;

776 08 i| Print version:t| VLSI and hardware implementations using modern machine learning methodsb| First edition.d| Boca Raton, FL : CRC Press, 2022z| 9781032061719w| (DLC) 2021037483;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003201038;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6691741;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691741-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691741-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691741-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

VLSI and hardware implementations using modern machine learning methods / edited by Sandeep Saini, Kusum Lata and G.R. Sinha.

Other author	Saini, Sandeep.
Other author	Lata, Kusum (Electronics engineer)
Other author	Sinha, G. R., 1975-
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton, FL : CRC Press, 2022.
Description	1 online resource
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Integrated circuits--Very large scale integration. --Design and construction. --Data processing. Machine learning.

Contents	VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha -- Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey -- Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.
Abstract	"Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher.
Issued in other form	Print version: VLSI and hardware implementations using modern machine learning methods First edition. Boca Raton, FL : CRC Press, 2022 9781032061719
Genre/form	Electronic books.
LCCN	2021037484
ISBN	9781000523843 (epub)
ISBN	9781003201038 (ebk)
ISBN	(pbk)
ISBN	(hbk)

VLSI and hardware implementations using modern machine learning methods / edited by Sandeep Saini, Kusum Lata and G.R. Sinha.

Click here for more information about this title