Results 181 to 190 of about 1,221,513 (328)

Unsupervised Text Segmentation Using Semantic Relatedness Graphs [PDF]

open access: hybrid, 2016
Goran Glavašš   +2 more
openalex   +1 more source

OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras [PDF]

open access: yesarXiv
Event cameras, known for low-latency operation and superior performance in challenging lighting conditions, are suitable for sensitive computer vision tasks such as semantic segmentation in autonomous driving. However, challenges arise due to limited event-based data and the absence of large-scale segmentation benchmarks.
arxiv  

Addressing Green Intellectual Capital in the Digital Era: A Network Perspective on EU Energy Small Medium Enterprises

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The Green Intellectual Capital (GIC) is a key competitive factor for European firms and an opportunity for EU sustainable development programs. Yet, existing research has not investigated the GIC of European small and medium enterprises (SMEs) in the energy sector.
Nuccio Ludovico   +3 more
wiley   +1 more source

Understanding the social and emotional domains of physical literacy in post‐secondary education: A scoping review

open access: yesThe Curriculum Journal, EarlyView.
Abstract While a variety of definitions persist, a common definition of physical literacy is that it encompasses the motivation, confidence, physical competence, knowledge and understanding to value and take responsibility for engagement in physical activities over the lifespan.
Nadine Van Wyk   +5 more
wiley   +1 more source

CrossFormer: Cross-Segment Semantic Fusion for Document Segmentation [PDF]

open access: yesarXiv
Text semantic segmentation involves partitioning a document into multiple paragraphs with continuous semantics based on the subject matter, contextual information, and document structure. Traditional approaches have typically relied on preprocessing documents into segments to address input length constraints, resulting in the loss of critical semantic ...
arxiv  

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi   +4 more
wiley   +1 more source

Semantic Segmentation with Boundary Neural Fields [PDF]

open access: green, 2016
Gedas Bertasius   +2 more
openalex   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

open access: yesDeep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan   +6 more
wiley   +1 more source

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