Results 211 to 220 of about 822,037 (305)

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

High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning. [PDF]

Nat Commun
Wang L, Yu X, Zhang T, Hou Y, Lei D, Qi X, Chu Z.   +6 more
europepmc   +1 more source

Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. [PDF]

Sensors (Basel), 2023
Duncanson KA, Thwaites S, Booth D, Hanly G, Robertson WSP, Abbasnejad E, Thewlis D.   +6 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

Deep metric learning for few-shot X-ray image classification

, 2023
Prokop J, Tordera JM, Jaworek-Korjakowska J, Mohammadi S.   +3 more
europepmc   +1 more source

Application of deep metric learning to molecular graph similarity. [PDF]

J Cheminform, 2022
Coupry DE, Pogány P.
europepmc   +1 more source

Learning What to Attend to: Using bisimulation metrics to explore and improve upon what a deep reinforcement learning agent learns

, 2020
Nele Albers, Miguel Suau de Castro, Frans A. Oliehoek   +2 more
openalex   +1 more source

Metric learning pairwise kernel for graph inference

, 2006
Jean‐Philippe Vert, Jian‐Wen Qiu, William Stafford Noble   +2 more
openalex   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

Human motion similarity evaluation based on deep metric learning. [PDF]

Sci Rep
Zhang Y, Nie L.
europepmc   +1 more source