Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning-Reference-Cited by-同舟云学术

Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning

Author:

Zhang Junru¹,Srivatsa Purna²,Ahmadzai Fazel Haq¹^ORCID,Liu Yang¹³,Song Xuerui¹,Karpatne Anuj²,Kong Zhenyu¹,Johnson Blake N.¹³⁴⁵^ORCID

Affiliation:

1. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States

2. Department of Computer Science, Virginia Tech, Blacksburg, Virginia 24061, United States

3. School of Neuroscience, Virginia Tech, Blacksburg, Virginia 24061, United States

4. Department of Materials Science and Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States

5. Department of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

Reference53 articles.

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