Online Nodal Demand Estimation in Branched Water Distribution Systems Using an Array of Extended Kalman Filters. [PDF]
Sensors (Basel)López-Estrada FR +5 more
europepmc +1 more source
Spatial–Temporal Graph Learning for Taxi Origin–Destination Demand Prediction
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 4, April 2026.To address the challenges of origin–destination semantic differentiation and data sparsity in taxi origin–destination demand prediction, we propose a multilevel continuous‐time dynamic node‐ based attention network (MCNAT). The results show that MCNAT outperforms the base model in all metrics.
Mingxia Huang, Bingyan Zheng, Dan Peng
wiley +1 more source
The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds. [PDF]
Sensors (Basel)Clemens J, Wellhausen C.
europepmc +1 more source
Fuel Cells, Volume 26, Issue 2, April 2026.ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models. [PDF]
Sensors (Basel)Donas A +4 more
europepmc +1 more source
Structural Modeling and Dynamics of the Full‐Length Homer1 Multimer
Proteins: Structure, Function, and Bioinformatics, Volume 94, Issue 4, Page 947-960, April 2026.ABSTRACT Homer proteins are modular scaffold molecules that constitute an integral part of the protein network within the postsynaptic density. Full‐length Homer1 forms a large homotetramer via a long coiled coil region, and can interact with proline‐rich target sequences with its globular EVH1 domain.
Zsófia E. Kálmán +9 more
wiley +1 more source
Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models. [PDF]
Sensors (Basel)Puder A, Zink M, Seidel L, Sax E.
europepmc +1 more source
Comparison of Kalman Filters for Inertial Integrated Navigation. [PDF]
Sensors (Basel), 2019 Zhang M, Li K, Hu B, Meng C.
europepmc +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
Wind Energy, Volume 29, Issue 4, April 2026.ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia. [PDF]
PLOS Glob Public HealthAlyami L, Das S, Townley S.
europepmc +1 more source