Results 101 to 110 of about 31,081 (304)
Advanced Engineering Materials, EarlyView.Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon +3 more
wiley +1 more source
Teaching AI when to care about gender
Code4Lib Journal, 2022 Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) concerned with solving language tasks by modeling large amounts of textual data.
James Powell, Kari Sentz, Elizabeth Moyer, Martin Klein
doaj
Approximating Word Ranking and Negative Sampling for Word Embedding [PDF]
, 2018 CBOW (Continuous Bag-Of-Words) is one of the most commonly used techniques to generate word embeddings in various NLP tasks. However, it fails to reach the optimal performance due to uniform involvements of positive words and a simple sampling ...
Guo, Guibing +7 more
core +1 more source
Advanced Engineering Materials, EarlyView.Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
word representation or word embedding in Persian text
CoRR, 2017 Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text.
Siamak Sarmady, Erfan Rahmani
openaire +2 more sources
Christof Schöch lectures on the Use and Abuse of Word Embedding
, 2020 A blog post reporting on a lecture about the use of word embeddings in ...
KAMLOVSKAYA, Ekaterina
core
Advanced Engineering Materials, EarlyView.Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal +3 more
wiley +1 more source
Spectral Word Embedding with Negative Sampling
, 2018 In this work, we investigate word embedding algorithms in the context of natural language processing. In particular, we examine the notion of ``negative examples'', the unobserved or insignificant word-context co-occurrences, in spectral methods.
Haji Soleimani, Behrouz, Matwin, Stan
core +1 more source
Advanced Functional Materials, EarlyView.Multiscale experiments and modeling reveal how Ti3C2Tx MXene nanosheets reinforce PVDF nanocomposites. An optimal MXene loading (∼1 wt.%) nearly doubles tensile strength through efficient stress transfer, flake alignment, and crack‐deflection mechanisms, transforming ductile polymer behavior into a controlled multi‐stage fracture pathway which aligns ...
Bita Soltan Mohammadlou +5 more
wiley +1 more source
Integrating Character Representations into Chinese Word Embedding
, 2016 In this paper we propose a novel word representation for Chinese based on a state-of-the-art word embedding approach. Our main contribution is to integrate distributional representations of Chinese characters into the word embedding.
Diana Frances McCarthy (16044272) +7 more
core +2 more sources