Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu… - Biosensors and …, 2024 - Elsevier
False results and time delay are longstanding challenges in biosensing. While classification
models and deep learning may provide new opportunities for improving biosensor …
被引用次数：1 相关文章

[引用][C] Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu… - Biosensors and …, 2024 - par.nsf.gov

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning.

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu… - Biosensors & …, 2023 - europepmc.org
False results and time delay are longstanding challenges in biosensing. While classification
models and deep learning may provide new opportunities for improving biosensor …

Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning

J Zhang, P Srivatsa, FH Ahmadzai, Y Liu… - Biosensors & … - pubmed.ncbi.nlm.nih.gov
False results and time delay are longstanding challenges in biosensing. While classification
models and deep learning may provide new opportunities for improving biosensor …