Results 221 to 230 of about 13,706,163 (294)

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

Semiparametric hybrid air quality forecasting using prophet ensemble and feature selection. [PDF]

Sci Rep
Yaqoob N, Elbatal I, Jabeen R, Semary HE, Zaka A, Afify AZ.   +5 more
europepmc   +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

Integrated electromagnetic-circuit digital twin modelling for constraint-consistent optimal operation in heterogeneous multi-receiver wireless power transfer systems. [PDF]

Sci Rep
Lee J, Lee SB.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Modelling and simulation of smart city drainage system based on digital twin five-dimensional models. [PDF]

PLoS One
Zhao Y, Yang M.
europepmc   +1 more source

First Clinical Results of Novel Haemodynamic Simulation Software for Patient-Specific Qp:Qs Quantification in Patients with Atrial Septal Defect Using Routine 2D Echocardiographic Data. [PDF]

J Clin Med
Gross F, Dragendorf R, Lerach T, Hinke A, Berger F, Seiler R, Ovrutskiy S.   +6 more
europepmc   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

Arthritis Care &Research, EarlyView.
Catherine Deffendall, Jodi Backalar, Elizabeth Acevedo Zapata, Adriana Della Porta, Lorin Bibb, Tyler Reese, Charlotte M. Brown   +6 more
wiley   +1 more source

Artificial intelligence, extended reality and computational modelling in cross-sectional cardiovascular imaging in congenital heart disease: a narrative review. [PDF]

Cardiovasc Diagn Ther
Raimondi F, Ortiz-Garrido A, Voges I.
europepmc   +1 more source