Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning

Udit Mamodiya, Suman Lata Tripathi, Deepika Ghai, Deepak Jain (Herausgeber)

Buch | Hardcover

496 Seiten

2026
Wiley-Scrivener (Verlag)
9781394355280 (ISBN)

Noch nicht erschienen (ca. April 2026)
Versandkostenfrei
Auch auf Rechnung

Artikel merken

Udit Mamodiya, PhD is an Associate Professor and Associate Dean of Research at Poornima University with more than 12 years of experience. He has authored ten books and more than 50 papers, published more than 50 utility patents, and holds 20 design patents and copyrights. His research interests include renewable energy sources, reliability analysis, expert systems, and decision support systems. Suman Lata Tripathi, PhD is a Professor at Lovely Professional University with more than 22 years of experience in academics and research. She has authored and edited more than 30 books and published more than 140 research papers in international journals, conference proceedings, and e-books, 14 Indian patents, and four copyrights. Her areas of expertise include microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design testing, and advanced FET design for IoT and embedded system design. Deepika Ghai, PhD is an Assistant Professor at Lovely Professional University with more than five years of experience in academics. She has published two books and more than 35 research papers in refereed journals and conferences. Her areas of expertise include signal and image processing, biomedical signal and image processing, AI and machine learning, and VLSI signal processing. Deepak Kumar Jain, PhD is an Associate Professor and Senior Scientist in the School of Artificial Intelligence at Dalian University of Technology. He has presented several papers in peer-reviewed conferences and authored and coauthored numerous studies in internationally reputed journals. His research interests include deep learning, machine learning, pattern recognition, and computer vision.