Results 221 to 230 of about 15,255 (305)
On the Error State Selection for Stationary SINS Alignment and Calibration Kalman Filters-Part II: Observability/Estimability Analysis. [PDF]
Silva FO, Hemerly EM, Leite Filho WC.
europepmc +1 more source
Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz +5 more
wiley +1 more source
Concrete ensemble Kalman filters with rigorous catastrophic filter divergence. [PDF]
Kelly D, Majda AJ, Tong XT, Tong XT.
europepmc +1 more source
Abstract This study assesses the influence of ocean–atmosphere coupling on short‐ and medium‐range forecasts of the July 2024 Indian summer monsoon using the newly configured coupled NCMRWF Unified Model (C‐NCUM). Forecasts are evaluated against the operational atmosphere–land model (NCUM) using GPM rainfall, OSTIA SSTs, and reanalysis‐derived moisture
Sumit Kumar +7 more
wiley +1 more source
Opposite Trends of Eddy Kinetic Energy in the Tropical Indo‐Pacific Ocean Since the 1990s
Abstract Oceanic mesoscale eddies are pivotal in redistributing mass and heat. Despite a warming‐induced increase in global oceanic stratification, previous studies have reported a global increase in mesoscale eddy activity, particularly in eddy‐rich regions, pointing to a complex and regionally contingent response to climate change.
Xinying Guo +6 more
wiley +1 more source
Calibration of a Neural Network Ocean Closure for Improved Mean State and Variability
Abstract Global ocean models exhibit biases in the mean state and variability, particularly at coarse resolution, where mesoscale eddies are unresolved. To address these biases, parameterization coefficients are typically tuned ad hoc. Here, we formulate parameter tuning as a calibration problem using Ensemble Kalman Inversion (EKI).
Pavel Perezhogin +2 more
wiley +1 more source
Kalman Filters in Geotechnical Monitoring of Ground Subsidence Using Data from MEMS Sensors. [PDF]
Li C, Azzam R, Fernández-Steeger TM.
europepmc +1 more source
This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang +6 more
wiley +1 more source
Regime‐Dependent Nowcasting of the Austrian Economy
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley +1 more source
ABSTRACT The Mesosphere and Lower Thermosphere establish an essential connection between Earth's lower atmosphere and upper atmosphere because wind patterns essential for atmospheric movement also influence energy distribution and chemical movements during geomagnetic storms that disrupt satellite operations and space weather prediction systems.
Yunhao Si
wiley +1 more source

