Results 111 to 120 of about 5,349,741 (340)

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Implementing Indigenous Data Sovereignty in Australia: A Five‐Phase Framework for Indigenous Data Governance

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn, Michael A. Guerzoni, Maggie Walter, Gawaian Bodkin‐Andrews, Bobby Maher   +4 more
wiley   +1 more source

Various Semantic Relationships between the Core and the Adjunct in the Arabic Sentence

الإيضاح
This study explores the various semantic relationships between the core (ʿumda) and adjunct (faḍla) components in Arabic sentence structure. By classifying grammatical elements into essential and secondary parts, the research aims to identify the central
Fouzia Mir Taj, Nargis Nazir
doaj   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Enhancement of Arabic Text Classification Using Semantic Relations of Arabic WordNet

Journal of Computer Science, 2015
Arabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, feature selection is crucial task since
Suhad A. Yousif, V. Samawi, Islam Elkabani, R. Zantout   +3 more
semanticscholar   +1 more source

CORRELATION OF LEXICAL-SEMANTIC RELATIONS WITH GRADUONYMY

, 2023
<p><i>The article deals with the phenomenon of graduonymy of semantic relations between words considered within the framework of language systematic relations, which is relevant for today from the point of view of linguistics.</i></p&
Musurmonkulov Adham Abdurashid ogli
core   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement

Nature Human Behaviour
Taxonomic incommensurability denotes the difficulty in comparing scientific theories due to different uses of concepts and operationalizations. To tackle this problem in psychology, here we use language models to obtain semantic embeddings representing ...
Dirk U. Wulff, Ma-Ta Rui
semanticscholar   +1 more source

Semantic Referee : A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation

, 2019
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm.
Alirezaie, Marjan,, Sioutis, Michael,, Längkvist, Martin,, Loutfi, Amy,   +3 more
core   +1 more source

Image Semantic Relation Generation

CoRR, 2022
Scene graphs provide structured semantic understanding beyond images. For downstream tasks, such as image retrieval, visual question answering, visual relationship detection, and even autonomous vehicle technology, scene graphs can not only distil complex image information but also correct the bias of visual models using semantic-level relations, which
openaire   +3 more sources