Error Recovery Method Based on Deep Reinforcement Learning for Fully Programmable Valve Array Biochips
Author:
Affiliation:
1. Computer and Data Science, Fuzhou University, China
2. Northwestern Polytechnical University, China
Funder
the Fujian Natural Science Funds
the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3649476.3658807
Reference10 articles.
1. Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
2. Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
3. Testing of Flow-Based Microfluidic Biochips: Fault Modeling, Test Generation, and Experimental Demonstration
4. Reliability-Aware Synthesis With Dynamic Device Mapping and Fluid Routing for Flow-Based Microfluidic Biochips
5. Microfluidic Trojan Design in Flow-based Biochips
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