Results 61 to 70 of about 853,051 (231)
Semantic richness, semantic context, and language learning [PDF]
As knowing a foreign language becomes a necessity in the modern world, a large portion of the population is faced with the challenge of learning a language in a classroom. This, in turn, presents a unique set of difficulties.
Frances, Candice, Frances, C.
core
Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu +9 more
wiley +1 more source
Semantic Memory in Arabic-Speaking Children with Language Delays
This study involves a linguistic-cognitive approach to language delay (LD) by revealing the process of semantic memory (SM) in the Arabic-speaking child according to the specificity of the Arabic language.
Fakht MAAROUF, Mohammed HAOULA
doaj +1 more source
An ontology-based intelligent data query system in manufacturing networks
This paper investigates the development of an intelligent data query framework through the use of semantic web technologies for manufacturing purposes. The primary objectives of the ontology-based data query were to develop an efficient and scalable data
Salman Saeidlou +3 more
doaj +1 more source
Comparative tests of ectoparasite species richness in seabirds [PDF]
Background: The diversity of parasites attacking a host varies substantially among different host species. Understanding the factors that explain these patterns of parasite diversity is critical to identifying the ecological principles underlying ...
Joseph Hughes +5 more
core +1 more source
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
Using association rule mining to enrich semantic concepts for video retrieval [PDF]
In order to achieve true content-based information retrieval on video we should analyse and index video with high-level semantic concepts in addition to using user-generated tags and structured metadata like title, date, etc.
Fatemi, Nastaran +3 more
core +2 more sources
Semantic diversity:A measure of contextual variation in word meaning based on latent semantic analysis [PDF]
Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for ...
Hoffman, Paul; id_orcid +5 more
core +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source
Research Agenda for the Semantic Grid: A Future e-Science Infrastructure
e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in a more
De Roure, D. +2 more
core +2 more sources

