Deep Reinforcement Learning-Based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software
Link
https://ieeexplore.ieee.org/ielam/43/10077488/9844153-aam.pdf
Reference40 articles.
1. Error recovery in a micro-electrode-dot-array digital microfluidic biochip?
2. Asynchronous methods for deep reinforcement learning;mnih;Proc Int Conf Mach Learn (ICML),2016
3. Adaptive and Roll-Forward Error Recovery in MEDA Biochips Based on Droplet-Aliquot Operations and Predictive Analysis
4. Fast coronavirus tests: what they can and can’t do
5. Synthesis of Error-Recovery Protocols for Micro-Electrode-Dot-Array Digital Microfluidic Biochips
Cited by 1 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. Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic Biochips;ACM Transactions on Design Automation of Electronic Systems;2024-01-15
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