Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]
Debnath U, Kim S.
europepmc +1 more source
Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa +4 more
wiley +1 more source
Abstract Accurate representation of closure relationships, such as subsurface storage‐discharge, is essential for hydrologic modeling at the hillslope scale, but remains challenging due to the nonlinear state‐dependent nature of soil hydraulic behavior.
Marcus N. Gomes Jr. +2 more
wiley +1 more source
Novel Multi-Target Tracking Method: PMBM Filter Combined SVD-SCKF with GP-Driven Measurements. [PDF]
Jia W, Li B, Zhang J, Zhou Y.
europepmc +1 more source
Abstract High‐precision regional ionospheric correction products are essential for achieving accurate and fast‐convergence solutions in Precise Point Positioning Real‐Time Kinematic (PPP‐RTK). For users in low‐ and middle‐latitudes, PPP‐RTK server narrow‐lane (NL) ambiguity resolution (AR) typically requires more than 10 min, which largely affects the ...
Pan Li +6 more
wiley +1 more source
An Optimized Pedestrian Inertial Navigation Method Based on the Birkhoff Pseudospectral Method. [PDF]
Zhang Z, Zhao D, Tian D.
europepmc +1 more source
Abstract Land surface models are crucial components within earth system models, simulating the exchanges of water, energy, carbon, and nitrogen between the land surface, atmosphere, and subsurface. One challenge is the large number of uncertain parameters in these models.
Mikael L. A. Kaandorp +5 more
wiley +1 more source
High-Precision Time Synchronization and Autonomous Maintenance for LEO Satellite Constellations Based on High-Stability Crystal Oscillators. [PDF]
Mu L, Hu X, Wu M, Li J.
europepmc +1 more source
A Mixed Frequency BVAR for the Australian Economy*
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley +1 more source
Movement Models to Predict Low-Altitude Flight of Soaring Birds Using Look-Ahead Environmental Factors. [PDF]
Sandhu R +9 more
europepmc +1 more source

