AI Techniques for Reliability Prediction for Electronic Components - Softcover

Softcover

ISBN 10: 1799814653 ISBN 13: 9781799814658

Verlag: Engineering Science Reference, 2019

Inhaltsangabe

"This book explores the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field"--

Über diesen Titel

Über die Autorin bzw. den Autor

Cherry Bhargava is working as an associate professor and head, VLSI domain, School of Electrical and Electronics Engineering at Lovely Professional University, Punjab, India. She has more than 14 years of teaching and research experience. She is PhD (ECE), IKGPTU, M.Tech (VLSI Design & CAD) Thapar University and B.Tech (Electronics and Instrumentation) from Kurukshetra University. She is GATE qualified with All India Rank 428. She has authored about 50 technical research papers in SCI, Scopus indexed quality journals and national/international conferences. She has seven books related to reliability, artificial intelligence and digital electronics to her credit. She has registered three copyrights and filed two patents. She is recipient of various national and international awards for being outstanding faculty in engineering and excellent researcher. She is an active reviewer and editorial member of various prominent SCI and Scopus indexed journals. She is a lifetime member of IET, IAENG, NSPE, IAOP, WASET and reliability research group. Her area of expertise includes reliability of electronic systems, digital electronics, VLSI design, artificial intelligence and related technologies.

Details zur Ausgabe

• Verlag: Engineering Science Reference
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 1799814653
• ISBN 13: 9781799814658
• Einband: Taschenbuch
• Anzahl der Seiten: 352
• Herausgeber: Bhargava Cherry
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland