Results 231 to 240 of about 8,582 (299)

Object tracking algorithm based on deformable attention mechanism. [PDF]

Sci Rep
Liu Q, Yu N, Cheng J.
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

Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]

Sensors (Basel)
Chebbi A, Franchek MA, Grigoriadis K.
europepmc   +1 more source

D‐DNet: A Dual Deep Neural Network Framework for High‐Efficiency Operational PM2.5 and AOD550 Forecasting With Data Assimilation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate forecasting of PM2.5 (particulate matter with diameter ≤2.5 μm) and AOD550 (aerosol optical depth at 550 nm) is crucial for air quality management, public health, and environmental policy. Traditional physics‐based forecasting systems, though robust, require computationally intensive simulations and data assimilation (DA) schemes that
Shengjuan Cai, Fangxin Fang, Vincent‐Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang   +5 more
wiley   +1 more source

Tri-stream multi-model architecture for real-time detection of BeiDou signal manipulation in UAV swarms. [PDF]

Sci Rep
Tariq U, Ahanger TA, Shaukat K.
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

A Real-Time Inertial Sensor-Based Diagnostic Support System for Improving Angular Accuracy in Dental Implant Placement: Preclinical Experimental Validation in a 3D Haptic Simulation Model. [PDF]

Dent J (Basel)
Cuesta Román R, Riutord-Sbert P, Vallejos Rojas D, Coll Campayo I, Obrador de Hevia J, Arroyo Bote S.   +5 more
europepmc   +1 more source

Improving Global Surface Soil Moisture Prediction Through Physics‐Guided Deep Learning and Cluster‐Based Regionalization

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Surface soil moisture (SSM) is essential to the hydrological cycle and land–atmosphere interactions, and its accurate simulation is crucial for climate prediction and resource management. This study developed an innovative modeling framework for global SSM prediction by integrating physics‐guided deep learning (PGDL) and clustering‐based ...
Xuan Xi, Qianlai Zhuang
wiley   +1 more source

Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning‐Based Models

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract Coupled data assimilation (CDA) could be beneficial for paleoclimate reconstruction, but intermediate‐complexity climate models are often used. The deep learning (DL)‐based surrogate model that can realistically simulate the climate system provides alternative to CDA, so that CDA of multi‐timescale proxy data using DL‐based models is ...
Lili Lei, Haohao Sun, Zhe‐Min Tan, Liang Ning, Zhengyu Liu   +4 more
wiley   +1 more source