Early Stage DRC Prediction Using Ensemble Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Early Stage DRC Prediction Using Ensemble Machine Learning Algorithms

Published:2022 Issue:4 Volume:45 Page:354-364
ISSN:2694-1783
Container-title:IEEE Canadian Journal of Electrical and Computer Engineering
language:
Short-container-title:IEEE Can. J. Electr. Comput. Eng.

Author:

Islam Riadul¹^ORCID

Affiliation:

1. Department of Computer Science and Electrical Engineering, University of Maryland at Baltimore County, Baltimore, MD, USA

Funder

National Science Foundation

UMBC Startup Grant

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

https://ieeexplore.ieee.org/ielam/9349829/9961098/9917250-aam.pdf

Reference46 articles.

1. Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability

2. On modeling the digital gate delay under process variation

3. An Efficient Approach for DRC Hotspot Prediction with Convolutional Neural Network

4. DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network

5. Chip placement with deep reinforcement learning;mirhoseini;arXiv 2004 10746,2020

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1. Reconfigurable CAN Intrusion Detection and Response System;Electronics;2024-07-07

2. Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks;Sensors;2024-02-19

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