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· 분류 : 외국도서 > 기술공학 > 기술공학 > 금속공학
· ISBN : 9781032796888
· 쪽수 : 226쪽
· 출판일 : 2025-08-21
목차
1. Semiconductor Materials: Current Applications and Limitations for Advanced Semiconductor Devices Applications? 2. Machine Learning: Introduction and Features? 3. Fault Detection in Semiconductor Manufacturing: A Classification Analysis of the SECOM Dataset? 4. Predictive Modelling for Yield Enhancement? 5. Deep Learning for Image Classification in Semiconductor Inspection? 6. Machine Learning for Semiconductor Devices? 7. Numerical simulation based biosensing performance exploration of a cylindrical BioFET using machine learning? 8. Semiconductor Materials for EV and Renewable Energy? 9. Performance Comparison of Vertical TFET using Triple Metal Gate structures and insights of Machine Learning Approach A comprehensive study? 10. Design and performance exploration of macaroni channel based Ge/Si interfaced nanowire FET for analog and high-frequency applications using machine learning
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