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IEEE Transactions on Neural Networks and Learning Systems
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January 17, 2022
Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks
Clemens Oszkinat, Susan E Luczak, I G Rosen
Neural Computing & Applications
|
October 24, 2023
An Abstract Parabolic System-Based Physics-Informed Long Short-Term Memory Network for Estimating Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data
Clemens Oszkinat, Susan E Luczak, I Gary Rosen
Inverse Problems
|
September 20, 2023
Blood and Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data: Estimation and Uncertainty Quantification via Forward and Inverse Filtering for a Covariate-Dependent, Physics-Informed, Hidden Markov Model
Clemens Oszkinat, Tianlan Shao, Chunming Wang, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Neural Networks and Learning Systems
|
January 17, 2022
Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks
Clemens Oszkinat, Susan E Luczak, I G Rosen
Neural Computing & Applications
|
October 24, 2023
An Abstract Parabolic System-Based Physics-Informed Long Short-Term Memory Network for Estimating Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data
Clemens Oszkinat, Susan E Luczak, I Gary Rosen
Inverse Problems
|
September 20, 2023
Blood and Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data: Estimation and Uncertainty Quantification via Forward and Inverse Filtering for a Covariate-Dependent, Physics-Informed, Hidden Markov Model
Clemens Oszkinat, Tianlan Shao, Chunming Wang, et al.
Page
of 1