DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken +4 more
wiley +1 more source
Dictionary learning for integrative, multimodal and scalable single-cell analysis. [PDF]
Hao Y +10 more
europepmc +1 more source
Discriminating mild traumatic brain injury using sparse dictionary learning of functional network dynamics. [PDF]
Fan L +8 more
europepmc +1 more source
“There Are Places Full of Beauty”: Desettling High School Students' Scientific Writing
ABSTRACT This study contributes to desettling and expanding expectations about the forms of scientific language that belong in students' scientific writing. The primary empirical focus is the analysis of 52 high school student abstracts articulating community‐based investigations, submitted as part of their participation in a student conference in a ...
Alejandra Frausto Aceves
wiley +1 more source
Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori +3 more
wiley +1 more source
Ontologies for Sustainability: Theoretical Challenges
ABSTRACT The lack of sustainable practices in key sectors of human societies is a global concern, posing threats for the whole planet. This paper provides the first review of ontologies for sustainability efforts, outlining their roles in assessing and advancing such efforts. Section 2 outlines three major challenges associated with sustainability: (1)
Giorgio A. Ubbiali +2 more
wiley +1 more source
Adaptation of Dictionary Learning for Electrode Displacement Elastography. [PDF]
Pohlman RM, Varghese T.
europepmc +1 more source
The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley +1 more source
Accelerated four-dimensional free-breathing whole-liver water-fat magnetic resonance imaging with deep dictionary learning and chemical shift modeling. [PDF]
Li S, Wang Z, Ding Z, She H, Du YP.
europepmc +1 more source

