Results 141 to 150 of about 5,942,306 (303)
ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction [PDF]
Iwo Naglik, Mateusz Lango
openalex +1 more source
Aspect and Sentiment Classification Mechanisms of Student After-Class Self-Evaluated Comments: Investigation on Nonsense Data, Feature Extraction, and Classification Models [PDF]
Chih‐Yueh Chou, Tzu-Yi Chuang
openalex +1 more source
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision [PDF]
Athanasios Giannakopoulos +4 more
openalex +1 more source
This study presents micropleated filters manufactured by needleless electrospinning. Nanofibers are deposited onto uniaxially pre‐stretched substrates that contract upon release, forming densely packed micropleats. This architecture increases effective surface area without enlarging the filter size, achieving quality factors comparable to those of ...
Aleksandr Fadeev +6 more
wiley +1 more source
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 +3 more
wiley +1 more source
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets [PDF]
Athanasios Giannakopoulos +3 more
openalex +1 more source
What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source
Aspect Extraction of Case Microblog Based on Double Embedded Convolutional Neural Network
TAN Chen-chen WANG Xiao-han
openalex +2 more sources

