Results 151 to 160 of about 131,254 (287)

Query Expansion and Term Weighting Method for Document Filtering

, 2003
Sin Seung Eun, Kang Hwan, Ok‐Ran Jeong, J. Gil, Park Sang Gyu, Lee Jae Seong, Seo Yeong Hun   +6 more
openalex   +2 more sources

Query expansion using MeSH terms for dataset retrieval: OHSU at the bioCADDIE 2016 dataset retrieval challenge. [PDF]

Database (Oxford), 2017
Wright TB, Ball D, Hersh W.
europepmc   +1 more source

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing—Part II: Processability by Powder Bed Fusion of Metals Using a Laser Beam

Advanced Engineering Materials, EarlyView.
In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke, Tim R. Brocksieper, Arne Lüddecke, Tobias Grimm, Arno Kwade, Jan T. Sehrt   +5 more
wiley   +1 more source

The Viability of the Refractory High‐Entropy Alloy AlMo0.5NbTa0.5TiZr for High‐Temperature Structural Applications

Advanced Engineering Materials, EarlyView.
Refractory high‐entropy alloys have attracted substantial attention for future ultrahigh‐temperature structural applications. Here the progression of key phase transformations in AlMo0.5NbTa0.5TiZr is established and correlated to the mechanical performance, highlighting the importance of the B2 phase.
George J. Wise, Nicole L. Church, Hon Tong Pang, Robert P. Thompson, Howard J. Stone, Nicholas G. Jones   +5 more
wiley   +1 more source

A study on query expansion methods for patent retrieval [PDF]

, 2011
Walid Magdy, Gareth J. F. Jones
openalex   +1 more source

Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach. [PDF]

Comput Intell Neurosci, 2015
Singh J, Sharan A.
europepmc   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

A Reranking Method Using Query Expansion and PageRank Check [PDF]

, 2011
Tae-Hwan Kim, Hochul Jeon, Joongmin Choi
openalex   +1 more source

Using large clinical corpora for query expansion in text-based cohort identification. [PDF]

J Biomed Inform, 2014
Zhu D, Wu S, Carterette B, Liu H.
europepmc   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source