Model-based sensor fusion of multimodal cardiorespiratory signal using an unscented Kalman filter
Onno Linschmann +2 more
openalex +1 more source
L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
A selective Kalman filtering approach to online neural network updating under system drift. [PDF]
Hammond JE +3 more
europepmc +1 more source
PFAS from a Discrete‐Event Terrestrial Source Migrates with Groundwater to Intertidal Seepages
PFAS is conveyed to the coastal intertidal zone from sources across the terrestrial landscape. Discharge of PFAS into the coastal ecosystem is complicated in space and time by the ongoing bi‐directional exchange of terrestrial groundwater and ocean water driven by tidal pumping within discharge areas.
Martin A. Briggs +8 more
wiley +1 more source
Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]
Tobaly L, Yaniv E, Zalevsky Z.
europepmc +1 more source
A Comparative Review of Specification Tests for Diffusion Models
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Robust Real-Time Sperm Tracking with Identity Reassignment Using Extended Kalman Filtering. [PDF]
Hassani MG, Saadat M, Lei P.
europepmc +1 more source
Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm. [PDF]
Jiang S, Chen Y, Liu Q.
europepmc +1 more source
Heterogeneity in Imperfect Inflation Expectations: Theory and Evidence from a Novel Survey
Abstract Using survey data from Germany, we study heterogeneity in how households form inflation expectations. We elicit (i) uncertainty in perceptions of current inflation and (ii) how persistent households perceive inflation to be. Combining these with standard survey questions on inflation, we infer laws of motion for expectations at the individual ...
ALISTAIR MACAULAY, JAMES MOBERLY
wiley +1 more source
A novel multi-step adaptive Kalman filtering method based on dynamic noise estimation for FECG extraction. [PDF]
Liu Y, Li L, Guo Y, Feng Z, Wang G.
europepmc +1 more source

