Connectivity-Based Machine Learning Compact Models for Interconnect Parasitic Capacitances-Reference-Cited by-同舟云学术

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Connectivity-Based Machine Learning Compact Models for Interconnect Parasitic Capacitances

Published:2021-08-30 Issue: Volume: Page:
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Container-title:2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD)
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Author:

Abouelyazid Mohamed Saleh,Hammouda Sherif,Ismail Yehea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9531034/9531069/09531300.pdf?arnumber=9531300

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PCT-Cap: Point Cloud Transformer for Accurate 3D Capacitance Extraction;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

2. Parasitic Capacitance Patterns Grid Density Binarization and Shifted Reflection Step Sequence Encoding for Dimensionality Reduction;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

3. Evaluation Trends and Development In Integrated Circuit Parasitic Extraction;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

4. Advanced Parasitic Capacitance Extraction using Active Learning;2023 20th International SoC Design Conference (ISOCC);2023-10-25

5. A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions;Computer Science Review;2023-05

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