Results 151 to 160 of about 48,416 (251)

Distributed Kalman Filtering Using Weighted Averaging

, 2006
This paper addresses the problem of distributed Kalman filtering, with focus on limiting the required communication bandwidth. By distributed we refer to a scenario when all nodes in the network desire an estimate of the full state of the observed system and there is no centralized computation center.
Alriksson, Peter, Rantzer, Anders
openaire   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +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

Distributed Kalman Filtering

, 2014
openaire   +2 more sources

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
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, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

Four‐Dimensional Generalization of Ensemble Singular Vector: Formulation and Experiments With the Lorenz 96 Model

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Motivated by the need to extend sensitivity analysis beyond spatial variations to include temporal evolution, we propose a four‐dimensional generalization to the ensemble singular vector approach, termed 4DEnSV. This generalization enables user‐defined norms that flexibly target spatiotemporal evolutions of interest.
Pin‐Ying Wu, Daisuke Hotta, Takuya Kawabata, Le Duc   +3 more
wiley   +1 more source

Microcosm experiments reveal source‐specific impacts of atmospheric aerosols on plankton communities and organic matter in the sea surface microlayer

Limnology and Oceanography, Volume 71, Issue 5, May 2026.
Abstract The impact of atmospheric deposition on marine ecosystems requires consideration of the interfacial processes within the sea surface microlayer, the uppermost layer at the air–sea interface. This study examines the impact of anthropogenic and biomass burning aerosol particles on the plankton community structure and organic matter accumulation ...
Andrea Milinković, Abra Penezić, Ana Cvitešić Kušan, Saranda Bakija Alempijević, Silva Žužul, Sanda Skejić, Danijela Šantić, Ranka Godec, Jelena Godrijan, Blaženka Gašparović, Maren Striebel, Jutta Niggemann, Mariana Ribas‐Ribas, Oliver Wurl, Sanja Frka   +14 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

A Deep Learning-Enhanced Adaptive Kalman Filter with Multi-Scale Temporal Attention for Airborne Gravity Denoising. [PDF]

Sensors (Basel)
Li L, Liu J, Ma G, Jiang Z.
europepmc   +1 more source