Results 201 to 210 of about 563,519 (262)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Adaptive Grid Search Method Using Dynamic Step-Size Adjustment for Robot-Tissue Interaction Force Estimation. [PDF]

Int J Med Robot
Zhu Y, Li H.
europepmc   +1 more source

A Prediction-Enhanced Polynomial Kalman Filter Using Higher-Order Predictive Representations for State Estimation. [PDF]

Sensors (Basel)
Long J, Zhang H, Wen C.
europepmc   +1 more source

Error State Kalman Filter for Integrated Attitude Estimation Based on Data Fusion of MIMU Inertial Array and Magnetometer. [PDF]

Micromachines (Basel)
Xue L, Lu J, Cai G, Yang B, Wang X.
europepmc   +1 more source

An Optimal Receiver Deployment Method for Achieving Robust Localization Performance in Practical Environments. [PDF]

Sensors (Basel)
Park B, Keun J, Choo H.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Bolstered error estimation

Pattern Recognition, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ulisses M. Braga-Neto, Edward R. Dougherty   +1 more
openaire   +5 more sources

A-posteriori estimation of the error in the error estimate

Computer Methods in Applied Mechanics and Engineering, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Strouboulis, T., Babuška, I., Gangaraj, S. K., Copps, K., Datta, D. K.   +4 more
openaire   +1 more source