Results 241 to 250 of about 26,219 (311)

Research on Combined Localization Algorithm Based on Active Screening-Kalman Filtering. [PDF]

Sensors (Basel)
Zhang X, Fu Y, Li J, Wei Y, Li Y, Zheng L.   +5 more
europepmc   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction. [PDF]

Sci Rep
Zhang S, Yang L.
europepmc   +1 more source

First Results of a New Inversion Tool for Thermospheric Neutral Mass Density Computations During Severe Geomagnetic Storms

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract In Low Earth Orbit (LEO), atmospheric drag is the dominant source of trajectory prediction error below approximately 700 km altitude, primarily due to inaccuracies in thermospheric density models. This work presents a method for temporally deconvolving Energy Dissipation Rates (EDRs) to produce single‐satellite density estimates, which can be ...
S. Mutschler, M. Pilinski, E. Zesta, D. M. Oliveira, K. Delano, K. Garcia‐Sage, W. K. Tobiska   +6 more
wiley   +1 more source

Dual-Model Derailment Detection Algorithm Based on Variational Bayesian Kalman Filtering. [PDF]

Micromachines (Basel)
Fan S, Gao X, Zhang Y, Chen H, Yi G, Hao Q.   +5 more
europepmc   +1 more source

Time‐Varying Cycling Rates of Size‐fractionated Particulate Organic Carbon During the Decay of a North Atlantic Spring Bloom

Global Biogeochemical Cycles, Volume 40, Issue 6, June 2026.
Abstract The concentrations of particulate organic carbon (POC) in the ocean are the result of a dynamic balance between multiple sources and sinks. Here, measurements of POC concentration in the small size fraction (SSF; 1–5 μm ${\upmu }\mathrm{m}$) and the large size fraction (LSF; >5μm ${ >} 5\ {\upmu }\mathrm{m}$) from the North Atlantic EXport ...
Daniel J. Clements, Phoebe J. Lam, Olivier Marchal, Amy E. Maas, Deborah K. Steinberg, Nicola L. Paul   +5 more
wiley   +1 more source

Online Adaptive Kalman Filtering for Real-Time Anomaly Detection in Wireless Sensor Networks. [PDF]

Sensors (Basel)
Ahmad R, Alkhammash EH.
europepmc   +1 more source

Ionosphere‐Thermosphere Responses to the March 2023 Geomagnetic Storm Using Observations and TIEGCM Simulations Driven by Data Assimilated Aurora and Electric Fields

Journal of Geophysical Research: Space Physics, Volume 131, Issue 6, June 2026.
Abstract We investigate Ionosphere‐Thermosphere (IT) responses to the March 2023 geomagnetic storm using GOLD and PFISR observations, along with TIEGCM simulations driven by data‐assimilated aurora and electric fields. A Lattice Kriging approach is implemented to assimilate auroral electron flux and characteristic energy from ground‐based (THEMIS/ASIs)
Prakash Poudel, Xian Lu
wiley   +1 more source

Crankshaft high cycle bending fatigue test method based on the combined extended Kalman filtering algorithm and different failure criterion parameters. [PDF]

PLoS One
Wei Z, Ruidong Y, Sun S, Xiaolin G, Zhentao L.   +4 more
europepmc   +1 more source

A Deep Learning‐Enhanced Ensemble Smoother for Non‐Gaussian Hydrological Data Assimilation Without Relying on Innovation Vectors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang, Junliang Jin, Lei Yao, Kun Zhou, Jianyun Zhang   +4 more
wiley   +1 more source