Results 181 to 190 of about 3,162,158 (317)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility. [PDF]

Dev Sci
Smith KE, Piray P, Teal A, Gok S, Pollak SD.   +4 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

Early life shifts in cortical inhibitory-excitatory balance underlies sensitive periods and skill development. [PDF]

Front Cell Neurosci
Taliaz D.
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

The Development of Rapid e-learning Tools selection process for Cognitive and Psychomotor Learning Objective

, 2011
This paper is a report on the findings of a rapid e-learning selection guideline to match different learning domains. As the development of Internet, the speed of information update is faster than ever.
Ku, David Tawei; Shen, C-Y.
core  

An E-learning Platform Development

, 2016
In order to complete my Master’s degree in Informatics Engineering at the Faculty of Sciences and Technology of the University of Coimbra in 2015/2016, I had to complete a yearlong internship so, from an extensive list of options I ended up choosing Konkrets, Lda which is a consulting startup headquartered in Lousã, Coimbra.
openaire   +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

Contemporary perspectives and debates in student ultrasound education: exploring didactic elements and theoretical aspects. [PDF]

BMC Med Educ
Recker F, Sänger SL, Dong Y, Gschmack A, Jenssen C, Möller K, Neubauer R, Blaivas M, Prats MI, Ruppert J, Sirli R, Weimer J, Westerway SC, Zervides C, Dietrich CF.   +14 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source