Results 91 to 100 of about 17,688,807 (320)
RoMEO studies 7: creation of a controlled vocabulary to analyse copyright transfer agreements
This paper describes the process of creating a controlled vocabulary which can be used to systematically analyse the copyright transfer agreements (CTAs) of journal publishers with regard to self-archiving.
Celia Jenkins +3 more
semanticscholar +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
The road to language learning is not entirely iconic: Iconicity, neighborhood density, and frequency facilitate sign language acquisition [PDF]
Iconic mappings between words and their meanings are far more prevalent than once estimated, and seem to support children’s acquisition of new words, spoken or signed.
Caselli, Naomi, Pyers, Jennie
core +2 more sources
What Have We Got to Lose? The Effect of Controlled Vocabulary on Keyword Searching Results
Using controlled vocabulary in the creation and searching of library catalogs has evoked a great deal of debate because it is expensive to provide. Leading to this study were suggestions that because most users seem to search by keyword, subject headings
Tina Gross, Arlene G. Taylor
semanticscholar +1 more source
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
DSpace versão 1.4 Uma anáise das facilidades relacionadas ao assunto [PDF]
DSpace version 1.4 begins a new possibility to use a controlled vocabulary to fill keywords in subject form and retrieve item by subject. This paper intent to analyze the suggested controlled vocabulary in DSpace and recommended by Dublin Core Metadata ...
core
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information. [PDF]
Soares F +3 more
europepmc +1 more source
Controlled vocabularies for consumer health
There is often a disconnect between the language that consumers use to express health concerns and the language that is used by health care professionals. At the same time, health care consumerism and the availability of vast health-related resources on the Internet have resulted in millions of persons using the Internet for health-related matters ...
openaire +2 more sources
Views Controlled Vocabularies testing
Introduction to a working session for test implementers of the draft Audubon Core Views controlled vocabularies.
openaire +1 more source

