Results 171 to 180 of about 3,437,889 (360)
, 2003 Lisa Guernsey, Digging for Nuggets of Wisdom, <em> New York Times </em> , October 16, 2003 (free registration required). A good peek at the state of the art. (PS: It will always be easier to apply these tools to free online texts than to priced and password-protected texts, unless the tools are hobbled from birth and limited to certain ...
openaire +1 more source
A Survey on Video Activity Recognition using Text Mining
, 2016 Vishakha Wankhede, Ramesh M. Kagalkar
openalex +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
PLAN2L: a web tool for integrated text mining and literature-based bioentity relation extraction [PDF]
, 2009 Martin Krallinger +3 more
openalex +1 more source
Deep neural networks for information mining from legal texts
, 2021 Ηλίας Χαλκίδης
openalex +2 more sources
Advanced Intelligent Discovery, EarlyView.This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Integrating text mining and knowledge graph to enhance biopharmaceutical process optimization. [PDF]
PLoS OneBhowmik S +8 more
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Advancements and trends in agricultural veterinary education research: a text mining and network analysis approach. [PDF]
Front Vet SciHuang L, Wu H, Peng J, Liu J.
europepmc +1 more source