RETRACTED: MSFGQ: Design of an efficient Multiparametric model for improving sub-field scheduling performance via novel GA & Q-Learning optimizations

Author:

Keswani Vinay H.1,Peshwe Paritosh2

Affiliation:

1. Department of Electronics and Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India

2. Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Nagpur, India

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference50 articles.

1. Informational Lithography Approach Based on Source and Mask Optimization;Ma;in IEEE Transactions on Computational Imaging,2021

2. 1000-Pixels per Inch Transistor Arrays Using Multi-Level Imprint Lithography;Dogan;in IEEE Electron Device Letters,2020

3. Integrated Test Pattern Extraction and Generation for Accurate Lithography Modeling;Cho;in IEEE Transactions on Semiconductor Manufacturing,2022

4. Computational Lithography for Silicon Photonics Design;Lin;in IEEE Journal of Selected Topics in Quantum Electronics,2020

5. GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets;Yang;in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2020

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