Optimal Sequential Fusion Kalman Filter for Multi-Sensor Linear Systems with Noise Cross-Correlated. [PDF]
Huang W, Wen C.
europepmc +1 more source
ALERA‐V Version 1.0: An Objective Analysis Dataset of the Venus Atmosphere
Using observations from the Venus orbiter Akatsuki, we present the first objective analysis dataset of the Venus atmosphere. ALERA‐V, generated with the ALEDAS‐V system using the LETKF, is expected to support studies of atmospheric dynamics and the planning of future satellite missions.
Yukiko Fujisawa +13 more
wiley +1 more source
Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments. [PDF]
Ren H.
europepmc +1 more source
Abstract During the past decades, the rapid decline of sea ice in the Arctic Ocean has substantially favored commercial navigation activities in the summertime. Numerical sea ice prediction on a seasonal scale plays a crucial role in guiding the programme of such activities, yet the role of snow depth data assimilation in numerical sea ice prediction ...
Xi Liang +8 more
wiley +1 more source
Distance Constraint Ensemble Kalman Filter for Pedestrian Localization. [PDF]
Deng L, Yu J, Li M, Zhao Q, Xu Y.
europepmc +1 more source
Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility
ABSTRACT People learn most effectively when they can flexibly modify strategies to accommodate environmental changes. Here, we explore how chronic early life stress influences the ways individuals weight and prioritize new information when making decisions. To do so, we examined the choices of 11–16‐year‐old children in a reward learning task. Children
Karen E. Smith +4 more
wiley +1 more source
A Deep Learning-Enhanced Adaptive Kalman Filter with Multi-Scale Temporal Attention for Airborne Gravity Denoising. [PDF]
Li L, Liu J, Ma G, Jiang Z.
europepmc +1 more source
Physics‐Supervised Autonomous Inverse Fracture Modeling via Generative Artificial Intelligence
Abstract Fracture networks act as critical pathways for groundwater flow and transport, yet their characterization remains challenging due to subsurface inaccessibility and stochastic complexity. Traditional inversion methods are computationally expensive and often fail to capture fracture heterogeneity accurately.
Guodong Chen +5 more
wiley +1 more source
Rotor Attitude Estimation for Spherical Motors Using Geometry-Constrained Kalman Transformer Algorithm in Monocular Vision. [PDF]
Liu F, Tian B, Wen F, Yu L, Yu T, Li M.
europepmc +1 more source
Abstract Accurately estimating the terrestrial carbon sink is crucial for understanding the global carbon cycle. Here, we examine how different parameterizations of the key leaf photosynthetic capacity parameter, namely the maximum Rubisco carboxylation rate normalized to 25°C (Vcmax25), influence terrestrial carbon flux estimates within an atmospheric
Lei Shu +5 more
wiley +1 more source

