Results 231 to 240 of about 1,653,906 (317)

Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 3, No. 4

, 2014
Wendy Smith
openalex   +2 more sources

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 method for estimating energy parameters of RNAs by differentiating base-pairing probabilities. [PDF]

NAR Genom Bioinform
Yamamura K, Terai G, Asai K.
europepmc   +1 more source

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

Failing Despite Knowing. Repeated Decision-Making During Binary Random Sequences with Asymmetric Probabilities [PDF]

Ajna Uatkán, G Ruzsa, Klára Faragó
openalex   +1 more source

Medical decision analysis for personalized oncology at the patient bedside. [PDF]

Tumori
Casali PG, Licitra L, Provenzano S, Pellegrini I, Fabbroni C, Franza A, Giani C, Callegaro D, Cavalieri S, Lanza F, Frezza AM, Vincenzi B, Muzzini R, Trama A, Miceli R, Tinè G, Torri V, Sanchini V, Hosni H, Bruzzi P.   +19 more
europepmc   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

HOW TO DEAL WITH THE A PRIORI PROBABILITY ON THE "TWO-ARMED" BANDIT PROBLEM

, 1967
Kazumasa Kôno
openalex   +2 more sources

External Validation of PathFx 3.0 Model on a Single-Centre Portuguese Population. [PDF]

Cureus
Rosado J, Vaz V, Miguel S, Vaz R, Rebola J, Nobrega J, Rasteiro P, Correia J, Pedrosa C, Portela J.   +9 more
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