Results 181 to 190 of about 3,373,464 (296)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Cover ASSETS: JAP Vol 6, No 1 (2017)

, 2017
Jurnal Akuntansi dan Pendidikan, Assets
core   +1 more source

Cover ASSETS: JAP Vol 9, No 1 (2020)

, 2020
Jurnal Akuntansi dan Pendidikan, Assets
core   +1 more source

Strategies for the source protection of data assets on processing techniques for intelligent manufacturing in traditional Chinese medicine. [PDF]

Front Public Health
Chen S, Zhang J.
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Cover ASSETS: JAP Vol 5, No 2 (2016)

, 2016
Jurnal Akuntansi dan Pendidikan, Assets
core   +1 more source

Stranded assets in European agriculture during food system transformations. [PDF]

Nat Food
Kortleve AJ, Mogollón JM, Harwatt H, Bruckner M, Liu B, Behrens P.   +5 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Cover ASSETS: JAP Vol 4, No 1 (2015)

, 2015
Jurnal Akuntansi dan Pendidikan, Assets
core   +1 more source

Does digital access translate into human capital gains? Assessing information technology use effects on cognitive and non-cognitive development of students in Western Rural China. [PDF]

PLoS One
Tang B, Cheng Z, Lin X, Cao Y, Xiao S, Ma Y, Gao K.   +6 more
europepmc   +1 more source